AI adoption · AI ROI calculator
AI ROI calculator for your whole firm
Your firm today, and your firm running on AI
Answer five questions about your firm and see what it gets back when it runs on AI: who starts using it, how much time comes back, which planned hires can wait, and how soon it all pays for itself.
A free tool from Softblues. No sign-up. Your answers are worked out in your browser. They are not sent with a booking unless you choose to share them.
- OpenAI Select Partner
- Google Cloud Services partner
- Anthropic Partner Network member
- Member of the Microsoft AI Cloud Partner Program
What can your firm get back with AI?
By month 12, AI frees up about 400 hours a week, the time of 10.7 people and room for 9% more work with the same team. That time is worth £480,000 a year at what it costs you. £270,000 a year of it is already profit, from 6 planned hires you no longer need, and the time of 4.7 more people is yours to decide. At typical prices it all pays for itself by month 10.
The licences are the cheap part. The business case is how many people really use AI, how much it gives each of them, and what you decide to do with the time.
ExampleThe example firm at month 12
- Time freed up
- 10.7 people 400 hours a week, room for 9% more work
- What that time is worth
- £480,000 a year, at what it costs you
- Added to profit
- £270,000 a year, from month 12
- Still to decide
- 4.7 people of freed time with no decision yet
First gain to profit: month 4 · Pays for itself: month 10, at typical prices
What that time is worth uses the loaded cost of one person, which you can change below. Pays for itself includes licences, our work and model usage at typical prices, and a discovery replaces them with yours.
- Industry
- Size
- Hiring
- AI today
- Heavy work
ExampleFinancial services and insurance, 120 peopleA typical team shape for this kind of firm. Change it to yours in the teams editor.
Month 12. The firm runs on AI. 65% of people now use AI every week, at about 3.5 hours back each. It works on the firm's own data through one connector. 2 agents running, each with a named person signing off.
78 of 120 people use AI every week at this point; 10.7 people's worth of time back.
- Not using AI at work yet
- Uses AI every week
- Trained, working with the firm's own data
- Time an agent now covers, a named person signs off
- Each dot is one person
People using AI every week
78of 120
65% of the firm, measured weekly.
Hours back every week
400
Across the whole firm, including review time. 2 agents live.
That is the time of
10.7people
At 37.5 hours a week each. This is capacity. It becomes profit when you decide what it is for.
The four layers, in the order they pay
Month 1
Measure and decide
We map your systems and who can reach what, confirm the work worth automating first, and measure a normal month before anyone touches a tool.
Delivered in discovery and roadmap
Scoped and quoted for your firm
1 · From month 2
Everyone gets a governed assistant
Inside the tools people already use, seeing only what they are already allowed to see. On its own, this is where most firms stop.
Delivered in rollout and training
£2,952 a month in licences, paid to the vendor
Change the assumptions
Starting figure for a business AI seat. Put in the price of the platform you choose, or only what is new to you if you already pay for some of it.Measured elsewhere. Weekly use of paid AI seats runs at 20% to 30%.Measured elsewhere. DWP Copilot evaluation, 2026: 19 minutes a day.2 · Months 2 to 6
People learn it on their own work
Training by role on the tasks each role already has, a champion in every team, and a one-page AI use policy. More people use it, and each gets more from it.
Delivered in rollout and training, then kept up by support and improvement
Scoped and quoted in discovery
Change the assumptions
Illustrative. BCG found regular use sharply higher with 5+ hours of training and coaching.Illustrative. Between DWP's 1.6 and the 8 hours 42% of regular users report to BCG.Internal time. Counted as economic cost, left out of payback.3 · Months 4 to 6
AI can reach your data
Access cleaned up and one connector the firm owns into the system of record. AI works on your clients and cases, and nobody re-keys.
Built as a connector in months 4 to 6
A small build, scoped in discovery
Change the assumptions
Illustrative. Searching for information gave the most time back in the DWP evaluation.Internal time. Economic, left out of payback.4 · From month 4
Agents, small first, then bigger
Client onboarding and KYC checks (small, live month 5), then Compliance file review (medium, live month 10), then Suitability reports and client letters (large, live month 17). Each runs in your own tenant, and a named person signs off every result.
Each built in a quarter, then looked after in your monthly support
Each scoped in discovery and built in a quarter
Your first two years, quarter by quarter
A small agent goes live first, so the first gain to profit comes early. Bigger agents follow once the data is connected. Turn any of them off, or move it to another quarter.
Q1 Months 1 to 3
Discovery, then rollout and trainingQ2 Months 4 to 6
SmallConnector to your system of recordSmallClient onboarding and KYC checksQ3 Months 7 to 9
MediumCompliance file reviewQ4 Months 10 to 12
Q5 Months 13 to 15
LargeSuitability reports and client lettersQ6 Months 16 to 18
Q7 Months 19 to 21
Q8 Months 22 to 24
Edit the agents
What the time is worth
How does the time turn into profit?
Only through a decision. Freed time can save money, grow the work you take on, or protect you from a loss, and you choose where it goes. Time you leave undecided goes back to clients and to the work only people can do, and this page does not count it as profit.
Save
Hires you no longer need
A hire is a whole person. A team needs at least one full person's worth of time back before a planned hire can wait. We put your first planned hire in the team that runs the heavy process and spread the rest by team size. Move them to where they really are.
| Team | Time freed up, month 12 | Hires planned | Can wait |
|---|---|---|---|
| Advisers and client-facing | 2.7 people | 2 | 2 can wait |
| Operations and client admin | 3.2 people | 2 | 2 can wait |
| Compliance and risk | 2.3 people | 1 | 1 can wait |
| Finance | 0.3 people | 0 | none planned |
| Technology and marketing | 0.4 people | 0 | none planned |
| Support and admin | 1.0 person | 1 | 1 can wait |
| Leadership | 0.3 people | 0 | none planned |
Spend you can switch off
Count only what you would cancel in writing. We replace it with your freed time at what that time costs you.
Grow
More work with the same team
Only if the demand exists: enquiries you turn away or a queue nobody reaches. We count margin, never revenue.
Protect
Mistakes and losses you avoid
- Added to profit a year, from month 12
- £270,000
- Time freed up
- 10.7 people
- Still to decide
- 4.7 people
The page for your board
What would your board see?
Everything above on one page: the firm before and after, the time it frees up and what that is worth, how much of it is profit, when it pays for itself, and the same two years next to the cheapest option.
Example firm: Financial services and insurance, 120 people, 6 planned hires, nothing official yet
- First gain to profit
- Month 4
- Added to profit a year
- £270,000
- Time freed up
- 10.7 people
- Pays for itself by
- Month 10
Pays for itself includes licences, our work and model usage at typical prices. A discovery replaces them with your own.
| Today | Month 12 | |
|---|---|---|
| Everyone has a governed assistant | No | Yes, 120 of 120 |
| People using AI every week | Not measured | 78 |
| Hours back every week | 0 | 400, the time of 10.7 people |
| Time freed up | None | 10.7 people, room for 9% more work |
| Systems of record | Re-keyed by hand | Reachable through one connector you own |
| Agents running | None | Client onboarding and KYC checks, Compliance file review |
| Added to profit a year | £0 | £270,000 |
The five tests of an AI-native firm
- Met: Everyone has a governed assistant
- Met: The firm's methods are written down and taught, not remembered
- Met: The systems of record are reachable
- Met: The heaviest process runs itself, with a name on it
- Met: The board gets one page a month with numbers on it
Added to profit, month by month
Added to profit each month. The markers show the first gain, when it covers the running cost, when it pays for itself and when each agent goes live. Pays for itself uses typical prices.
Expected case. Switch on the cautious case above to see it with less.
- Added to profit that month
- First gain to profit, month 4
- Covers its running cost, month 5
- Pays for itself, month 10
- An agent goes live: month 5, month 10, month 17
The time comes back from month 2, whatever you decide. In year one it is worth £298,000 at what it costs you. Only the part you decide to use is in the profit figures.
| Added to profit, year two | £270,000 |
|---|---|
| Internal time in year one, economic, not in payback | £33,000 |
Show the numbers month by month
| Month | Hours freed up a week | Hires waiting | Added to profit |
|---|---|---|---|
| 1 | 0 | 0 | £0 |
| 2 | 48 | 0 | £0 |
| 3 | 77 | 0 | £0 |
| 4 | 111 | 1 | £4,000 |
| 5 | 237 | 3 | £11,000 |
| 6 | 326 | 5 | £19,000 |
| 7 | 326 | 5 | £19,000 |
| 8 | 326 | 5 | £19,000 |
| 9 | 326 | 5 | £19,000 |
| 10 | 400 | 6 | £23,000 |
| 11 | 400 | 6 | £23,000 |
| 12 | 400 | 6 | £23,000 |
| 13 | 400 | 6 | £23,000 |
| 14 | 400 | 6 | £23,000 |
| 15 | 400 | 6 | £23,000 |
| 16 | 400 | 6 | £23,000 |
| 17 | 529 | 6 | £23,000 |
| 18 | 529 | 6 | £23,000 |
| 19 | 529 | 6 | £23,000 |
| 20 | 529 | 6 | £23,000 |
| 21 | 529 | 6 | £23,000 |
| 22 | 529 | 6 | £23,000 |
| 23 | 529 | 6 | £23,000 |
| 24 | 529 | 6 | £23,000 |
Seats for everyone, nothing else · Your plan, as switched on above
Seats for everyone, nothing else
- People using AI every week
- 30
- Time back, month 12
- 1.3 people, across 7 teams
- Hires that can wait
- 0
- Added to profit a year
- £0
- Licences, year one
- £32,000
- Covers its running cost from
- Not within 24 months
- Pays for itself by
- Not within 24 months
Your plan, as switched on above
- People using AI every week
- 78
- Time back, month 12
- 10.7 people, across 7 teams
- Hires that can wait
- 6
- Added to profit a year
- £270,000
- Covers its running cost from
- Month 5
- Pays for itself by
- Month 10
The first gain to profit arrives in month 4. From month 5 the monthly gain covers the running cost, and by month 10 the whole programme has paid for itself, at typical prices. Seats alone give everyone a few minutes a day, which is not enough to hold back a single hire.
Closest example on our site: AI compliance file review for a financial-advice firm (anonymised, proposed).
Opens your browser's print dialog. Nothing is sent to us.
Worked out at softblues.io/ai-adoption/business-case. Illustrative team shapes; replace them with your own.
The next step
How do you get these numbers for your own firm?
In a paid discovery. We measure a normal month of your work, map who can reach what, confirm the one process worth changing first and size every agent, so the example on this page becomes your own figures, with the cost of getting there. You leave with a phased roadmap and a business case your board can check, whether or not you go further.
Month 1 in this plan
Discovery and roadmap
You leave with a prioritised list of the work worth changing, a baseline, a platform shortlist, a pilot scope with success and stop criteria, and a phased roadmap. We scope and quote the discovery for your firm before it starts.
Rollout and training
Months 2 and 3 in this plan
Everyone gets a governed AI assistant in the tools they already use. We prepare the sources and permissions, train each team by role on its own work, name champions and an owner, and write a one-page AI use policy with you. How rollout works
Support and improvement
From month 4
We keep everything working, monitored and measured, including every agent we build. Each month your board gets one page with numbers on it and a decision to expand, adjust or stop. See the monthly page
Agent builds
Any quarter from month 4
When you want the next agent, add it for a quarter, small ones first. When the quarter ends it joins everything your monthly support already looks after.
The months are the plan this calculator models, not a fixed timetable. If you only want one agent, you can buy it on its own at the published prices in our AI adoption guide.
What does the AI ROI calculator do?
It turns five answers about your firm into a two-year view of running the whole firm on AI: the time that comes back, what it is worth, how much of it becomes profit and when it pays for itself.
What it is
A free calculator for the business case of making a whole firm AI-native, not one tool or one workflow. No sign-up.
What it counts
Weekly users, not licences. The time freed up and what it is worth. Profit only from decisions: hires you no longer need, spend you switch off, more work with the same team, losses you avoid.
What it shows
The time your firm gets back and what it is worth, how much of it becomes profit, which planned hires can wait, and when it pays for itself.
A typical result
A UK firm of 120 people planning six hires frees the time of 10.7 to 15.5 people, worth £480,000 to £695,000 a year, with the first gain to profit in month 3 to 5. Smaller firms gain less, and the page says so.
Who built it
Softblues, a London-based AI adoption partner. We run our own company on six agents for about £470 a month.
How soon does AI pay for itself?
For a typical 120-person firm planning six hires, AI frees the time of between 10.7 and 15.5 people, worth between £480,000 and £695,000 a year at what that time costs. The first gain to profit arrives between month 3 and month 5, and at typical prices the programme pays for itself between month 9 and month 17. A 45-person firm takes longer, and in 4 of the twelve industries it does not pay for itself within two years unless more of the freed time is put to work. The tables show every industry, worked out with the same model as the calculator above.
In every industry, 78 of the 120 people are using AI every week by month 12. What differs is where the time comes back and whether it lands where a hire was planned.
| Industry | Time freed up, month 12 | Worth a year | Added to profit a year | Pays for itself by |
|---|---|---|---|---|
| Financial services and insurance | 10.7 people, 9% more work | £480,000 | £270,000, 6 of 6 hires | Month 10 |
| Legal | 14.6 people, 12% more work | £657,000 | £225,000, 5 of 6 hires | Month 11 |
| Accounting and tax | 12.3 people, 10% more work | £552,000 | £270,000, 6 of 6 hires | Month 9 |
| Healthcare and life sciences | 11.3 people, 9% more work | £509,000 | £270,000, 6 of 6 hires | Month 11 |
| Property and construction | 10.8 people, 9% more work | £484,000 | £270,000, 6 of 6 hires | Month 11 |
| Manufacturing | 11.7 people, 10% more work | £526,000 | £180,000, 4 of 6 hires | Month 15 |
| Logistics and distribution | 12.4 people, 10% more work | £560,000 | £225,000, 5 of 6 hires | Month 12 |
| Retail and e-commerce | 15.5 people, 13% more work | £695,000 | £225,000, 5 of 6 hires | Month 13 |
| Technology and software | 12.2 people, 10% more work | £547,000 | £225,000, 5 of 6 hires | Month 11 |
| Marketing and creative | 11.5 people, 10% more work | £516,000 | £225,000, 5 of 6 hires | Month 11 |
| Recruitment and staffing | 12.1 people, 10% more work | £543,000 | £270,000, 6 of 6 hires | Month 9 |
| Something else | 13.7 people, 11% more work | £615,000 | £180,000, 4 of 6 hires | Month 17 |
| Industry | 45 people | 120 people | 250 people |
|---|---|---|---|
| Financial services and insurance | Month 21 | Month 10 | Month 7 |
| Legal | Month 20 | Month 11 | Month 6 |
| Accounting and tax | Month 21 | Month 9 | Month 6 |
| Healthcare and life sciences | Month 21 | Month 11 | Month 6 |
| Property and construction | Month 21 | Month 11 | Month 7 |
| Manufacturing | Not within 24 months | Month 15 | Month 7 |
| Logistics and distribution | Not within 24 months | Month 12 | Month 7 |
| Retail and e-commerce | Not within 24 months | Month 13 | Month 7 |
| Technology and software | Month 21 | Month 11 | Month 7 |
| Marketing and creative | Not within 24 months | Month 11 | Month 7 |
| Recruitment and staffing | Month 21 | Month 9 | Month 7 |
| Something else | Month 20 | Month 17 | Month 7 |
Team shapes are our starting assumption for a typical UK firm of each kind, not survey data. Added to profit here counts only the planned hires; spend you switch off, more work and avoided losses add to it. The cautious case, with half the training and data uplift and every agent doing 40% less, moves the financial services example from month 10 to month 21. Put your own firm in the calculator above.
How do you calculate the ROI of AI for a whole firm?
Count the people who really use it, not the licences. Add the four layers that make a firm AI-native in the order they pay: a governed assistant for everyone, training by role, access to the firm's own data, then agents on named processes, small ones first. Treat the hours that come back as capacity, and count it as profit only where a decision puts it to use.
Seats on their own rarely pay. At a quarter of people using them each week and 1.6 hours back for each of those people, the default example, a 120-person financial services firm, gets about 48 hours a week, the time of 1.3 people spread across all 7 of its teams. No planned hire can wait on that.
Training by role on the tasks each role already has lifts both numbers: the calculator assumes 65% weekly use and 2.5 hours each, and you can change both. Reaching the firm's own data adds about an hour a week for each weekly user, because searching for information gave the most time back in the DWP's evaluation. Agents then take a named share of one team's week, with a person signing off every result.
Four decisions turn time into profit: a hire you no longer need, spend you switch off, margin on more work you can take on, and a loss you make less likely. A hire is a whole person, so a team needs 37.5 hours a week back before one planned hire can wait.
Two things stay out of payback. Internal time for training, champions, IT and agent owners is real cost, so the page shows it, but it is not cash. Licences you already pay for are sunk, so they are not counted as a cost, and the use they already give you is not counted as a gain.
| Layer | When | What changes | Where it shows |
|---|---|---|---|
| A governed assistant for everyone | From month 2 | About a quarter of people use it every week | Hours back, rarely a hire |
| Training by role | Months 2 to 6 | More people use it, and each gets more from it | Hours back, and the first hires that can wait |
| Access to the firm's data | Months 4 to 6 | AI works on your own clients and cases, and nobody re-keys | More hours back for every weekly user |
| Agents, small first | From month 4 | A named share of one team's week, signed off by a person | Hires that can wait in that team, and spend you can switch off |
How we train people by role is on AI rollout and training, and how we keep it working each month is on support and improvement.
What should an AI business case include?
A measured baseline, real adoption, the full cost and a named route for every pound of benefit. It also needs the comparison with doing the cheapest thing, a cautious case, and one owner who reports to the board each month.
- A baseline: a normal month of the work, measured before anyone touches a tool.
- Adoption: the people who use it every week, not the number of licences.
- Every cost: licences, fees, builds, model usage and internal time.
- A route for every pound: which hire waits, which spend stops, which work you take on, which loss becomes less likely.
- The counterfactual: what happens if you buy seats and nothing else, or do nothing.
- A cautious case next to the expected one.
- Licences you already pay for, left out of both sides.
- An owner, and one page with numbers on it every month.
What happened when we ran our own firm on AI?
Since March 2026 six functions at Softblues have run as agents rather than as people: sales, marketing, lead generation, recruitment, finance and executive assistance. Our COO supervises all six.
Three no longer have a dedicated person. The other three are roles we have not had to add as we grew. Staffed the usual way at UK market rates, the six would cost us in the region of £20,000 a month. That is our own estimate of cost avoided, not a saving you could find in a ledger.
- functions running as agents, one person supervising
- 6
- a month to run all six
- ~£470
Running in-house
The Softblues Claude Operating System
Softblues runs its own company on Claude: six connected agents, one per function, each with its own operating manual, tools and routines, joined through a shared hub. We use it before we sell it, so we can show it live rather than in a slide deck.
Read the case study
Live · 35 of 45 staff use Claude weekly
Key Capital's company-wide Claude rollout
Key Capital is an Irish corporate finance and investment management firm. Softblues ran the discovery and licensing fit, configured Claude inside the firm’s Microsoft 365 environment, and led nine weekly training sessions for the whole team. The rollout went live in April 2026. Before the training, only a small proportion of staff used generative AI for work.
Read the case study
Closest example for financial services and insurance: AI compliance file review for a financial-advice firm (anonymised, proposed).
We use it before we sell it.
Where do the defaults come from?
Some are measured elsewhere, some come from third-party research, and some are our own starting assumptions. Each is labelled, and every one can be changed in the calculator.
| Assumption | Default | Type | Source |
|---|---|---|---|
| Team shapes, processes and the order of the agents for each industry | By industry | Illustrative | Our starting assumption for a typical UK firm of that kind, not survey data. |
| Weekly use of paid AI seats, seats alone | 25% | Vendor and third party | Weekly use of paid AI seats runs at 20% to 30%, against 15 million paid Copilot seats in about 450 million commercial Microsoft 365 seats, March 2026. As recorded in our AI adoption guide v1.1. |
| Hours back per weekly user, seats alone | 1.6 a week | Measured elsewhere | DWP evaluation of Microsoft 365 Copilot, GOV.UK: 19 minutes a day, with a comparison group of non-users. The earlier cross-government experiment, GOV.UK of 20,000 civil servants reported 26 minutes, without one. |
| Weekly use after training | 65% | Illustrative, with a client case | Regular use is sharply higher with at least five hours of training and in-person coaching (BCG AI at Work, 2025). At Key Capital, 35 of 45 staff use Claude several times a week after nine weekly sessions. |
| Hours back after training, and once data is reachable | 2.5, then 1 more | Illustrative | Between the DWP's 1.6 hours and the 8 hours that 42% of regular users report to BCG. Searching for information gave the most time back in the DWP evaluation. |
| Why the routes exist | Third party | 66% of employees get limited or no guidance on what to do with the time they save. Close to 12,000 people surveyed (BCG AI at Work, June 2026). | |
| Licence per person per month | £24.60 | Starting figure | A business AI seat at list price, as recorded in our AI adoption guide v1.1. Copilot, ChatGPT, Claude and Gemini are priced differently, and many firms already pay for part of it, so put in the price of the platform you choose. Choose your platform compares them. |
| Loaded cost of one hire | £45,000 a year | Example figure | Salary plus employer costs. Change it to yours. |
| What each agent takes off its team, the cautious case | By agent | Illustrative | A small agent takes on one narrow task that fills at most a tenth of its team's week, and does half of it. The cautious case halves the training and data uplift and cuts every agent's share by 40%. A paid discovery replaces all of these with your own numbers. |
Last updated: 1 October 2026
Common questions about the AI ROI calculator
How much do companies pay to use AI?
Licences are the visible part and usually the smallest. The calculator starts from £24.60 a person a month for a business AI seat, so a 120-person firm pays around £35,000 a year, and you can put in the price of the platform you choose. The larger costs are the ones most business cases leave out: training by role, access to the firm's own data, building agents, model usage and the time of the people involved. The Softblues calculator counts all of them, and shows internal time separately because it is real cost but not cash.
Is Microsoft 365 Copilot worth it for the whole firm?
On its own, rarely in profit. Weekly use of paid AI seats runs at 20% to 30%, and the DWP found 19 minutes a day for the people who did use Copilot. For a 120-person financial services firm that is about 48 hours a week, the time of 1.3 people spread across all 7 of its teams, which is not enough to let one planned hire wait. Seats start paying when people are trained on their own work, the tool can reach the firm's data and agents take on named processes. The calculator puts seats alone next to the full plan so you can see the gap.
What adoption rate should an AI business case assume?
Start from the people who use it every week, not the number of licences. Weekly use of paid AI seats runs at 20% to 30%, and the calculator starts at 25%. Training by role raises it, and the calculator assumes 65% after training, which you can change. At Key Capital, after nine weekly sessions led by Softblues, 35 of 45 staff use Claude several times a week.
Why are saved hours not savings?
Hours returned to a team are capacity. They become profit only when you decide what they are for: a hire you no longer need, spend you switch off, more work you can take on, or a loss you make less likely. A hire is also a whole person, so a team needs 37.5 hours a week back before a planned hire can wait. The calculator shows the time and what it is worth from month two, and counts profit only where one of those decisions is made.
Why do most AI business cases fail?
They count licences as the cost and every licensed person as a user. Then they multiply the hours by an hourly rate and put the result in the budget as money. Real weekly use runs at 20% to 30% of seats, most of the cost sits in training, data access and agents, and hours turn into profit only through a decision somebody owns. A business case that cannot come out negative will not survive a budget round, and this one can come out negative.
How long does AI take to pay back in a small firm?
Longer, because a small firm has fewer planned hires for the time to land on. At 45 people planning two hires, the worked examples pay back in month 20 or 21 in most industries, and not within two years in 4 of the twelve. At that size most of the profit has to come from the agents, from spend you can switch off or from more work with the same team, so decide those in the calculator.
What if we only want one agent?
Then buy it on its own. Our AI adoption guide publishes the price of each agent size, and for a single agent that is cheaper than a monthly fee. Monthly support and improvement is for firms that want the whole company using AI and more than one agent over time.
Is the calculator free, and what happens to my answers?
Yes, it is free and there is no sign-up. Your answers are worked out in your browser and are not sent to Softblues, including when you book a call, unless you choose to share them. We count how many people use each step, never what they enter.
How much time does AI free up in a firm?
In the calculator's worked examples, a 120-person UK firm gets back the time of 10.7 to 15.5 people by month 12, which is room for 9% to 13% more work with the same team, worth £480,000 to £695,000 a year at what that time costs. It comes from three places: more people using AI every week after training by role, more hours for each of them once AI can reach the firm's data, and agents that take on part of a named process. If your firm already pays for licences, Softblues counts only the time above what those licences already give you.
Where to go next
- Choose your AI platformCopilot, Claude, ChatGPT or Gemini, and when to use two.
- AI strategy and roadmapWhat a paid discovery looks at, in full.
- AI rollout and trainingTraining by role on the work people already do.
- Process automation ROI calculatorCheck one process at a time.
- AI adoption guides and playbooksThe full library, free.
Want to run this on your own numbers?
Bring your team shapes and the process that eats the most hours. We will walk through this page with you, change what does not fit your firm, and tell you plainly if the numbers do not work.