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SoftBlues
SoftBlues
Real voices. Real conversations. Real resolutions.

Custom AI Voice Agents for UK and Ireland

We design, build, and run multi-agent voice systems that pick up the call, understand the customer, and actually resolve the problem. Integrated with your CRM and telephony. First production call in about 8 weeks.

AI voice agent architecture

What can a voice agent actually resolve?

If it follows a process, has a clear answer, and lives in a system you already use, a voice agent can handle it. Support, bookings, payments, qualification, recovery. Inbound and outbound.

Inbound Support Agents

Answer every call, 24/7. Handle routine enquiries, create tickets in your CRM, authenticate callers, and hand off to human agents with full context when needed.

See Roof Maker case study

Outbound Campaign Agents

Appointment reminders, lead qualification, no-show recovery, payment collections, satisfaction surveys. Run thousands of concurrent calls with consistent quality.

Booking & Scheduling Agents

Integrate with your calendar system to book, reschedule, and confirm appointments by voice. Ideal for clinics, dealerships, salons, and professional services.

Payments & Collections Agents

PCI DSS compliant voice agents that take card payments, confirm balances, and handle collections conversations with fully logged, audit-ready transcripts.

See arrears recovery case study

Voice Interviewers

Automated candidate screening and structured interviews at scale. Transcribe, score, and route high-intent applicants to human recruiters.

See AI Voice Interviewer case study

AI Receptionists

Handle your main line: triage enquiries, route internally, take messages, book meetings, qualify leads. Replace or augment a traditional front desk.

Inbound and outbound voice agent flows

Where are voice agents actually being used?

Production deployments across regulated, high-volume, customer-facing operations.

Manufacturing

Technical support hotlines that read serial numbers, log warranty claims, and create HubSpot tickets while the customer is still on the line.

Healthcare

Appointment reminders, prescription refill triage, and post-visit check-ins, with consent capture and PII redaction by default.

Financial Services

Polite, compliant arrears recovery and balance enquiry calls. Outbound and inbound. Structured outcomes back into your CRM.

HR Tech & Recruiting

Voice interviewers that ask 65+ adaptive questions, handle three languages, and decide on the fly when to probe deeper.

Automotive & Real Estate

Lead qualification, viewing and test-drive bookings, dealer hotline triage, with calendar and CRM integration end to end.

Retail & E-commerce

Order status, returns, product questions, and recovery calls when a customer hangs up mid-checkout. Multi-language by default.

Live demo

Want to talk to a real voice agent right now?

Oliver is our own multi-agent customer support system, the same architecture we deploy for clients in healthcare, finance, and customer service. He runs every conversation on this website by voice or text.

Behind Oliver: seven specialised agents working together. A root agent triages every incoming conversation; four domain specialists handle AI projects, discovery, general enquiries, and bookings; two deeper specialists under discovery cover team augmentation and general development. Each agent has its own instructions, tools, and end conditions.

Oliver is online, responds in under 2 seconds
Oliver multi-agent architecture: a root agent at the top routing to four specialist agents (AI Project, AI Discovery, General Enquiry, Booking) with two further specialists under AI Discovery (Team Augmentation, General Development)

How do we build a voice agent?

Five layers, each using the strongest available tool for the job, working together in real time.

1

Voice Layer

LiveKit for real-time audio, Deepgram or Google STT for speech recognition, ElevenLabs or Google TTS for voice synthesis. Streaming end to end.

2

Intelligence Layer

The strongest LLM for each task: Gemini, Claude, or OpenAI GPT, selected per use case. Google Agent Development Kit and LangGraph for stateful workflow orchestration.

3

Agent Layer

Router agent for intent classification. Specialised sub-agents per domain: support, sales, booking, billing, lead capture. Each with its own tools, prompts, and end conditions.

4

Integration Layer

SIP trunks, Twilio, Vonage, Genesys, Amazon Connect for telephony. Salesforce, HubSpot, Zendesk, ServiceNow, and custom APIs. Reads and writes records during the call.

5

Platform Layer

Google Cloud Run for auto-scaling serverless deployment. BigQuery for analytics. Cloud Logging for full audit trails. Deployed in your UK or EU region.

Voice AI architecture stack with five layers: voice transport, conversation orchestration, agent layer, integration layer, and platform layer

Every voice agent we ship runs on this same five-layer architecture. Roof Maker uses it. The HR Tech voice interviewer uses it. The arrears recovery agent uses it. The components shift to fit the use case, but the shape of the build is the same every time.

Quality, not just calls

What happens to the data from every call?

Every call produces a transcript, a structured outcome, and a tool-call trail. Each one lands in BigQuery alongside metadata: agent, intent, resolution, sentiment, time-to-resolve, and escalation point. Every data point is kept.

On top of that we run an automated QA layer: random sampling, rule-based checks, and LLM-as-judge scoring against your own quality rubric. Failures become coaching items for both the agents and your human team. Patterns become product changes.

The result: calls become data, data becomes improvements, improvements become better calls. You see exactly how the agents get sharper week over week, with the numbers in front of you.

Transcripts

100%

Stored and searchable

Structured outcomes

Per call

Intent, resolution, escalation

QA sampling

Automated

Rule + LLM-as-judge scoring

Improvement cycle

Weekly

Numbers, not vibes

The key facts

What buyers, IT leads, and compliance teams need to know

Softblues builds custom multi-agent voice systems for UK and Ireland businesses. Inbound and outbound. Integrated end to end with your CRM, your telephony, your back-office, and your compliance stack. Deployed on Google Cloud in your UK or EU region. Ship the first production call in about 8 weeks, then tune.

Eight live agents are already in production for Roof Maker. An HR Tech voice interviewer runs adaptive interviews in three languages. A US arrears recovery agent handles outbound and inbound calls with structured outcome capture. The architecture is the same every time, shaped around your operation.

Speech accuracy

97%

Measured on production calls across UK accents and noisy lines.

Live in production

8 agents

Roof Maker router plus seven specialists, handling real calls 24/7.

To first production call

8 weeks

Discovery, build, integrate, test. Real conversations, not presentations.

Always on

24/7

No queue, no out-of-hours gap, no overflow. The agent is always there.

How fast do we get to a real call?

Three phases. Fixed time per phase. You hear a real agent on a real call before you commit.

Every engagement follows the same shape: a short Pilot that proves it works on your top call category, a full Production build that covers your top three to five categories, and an optional Managed Optimisation Retainer that keeps tuning after go-live. You see the path before you sign, you hear the agent on real calls before you commit, and you keep the work whether you stay with us or not.

1

Pilot (3 to 4 weeks)

Prove it works on one call category

We take your highest-volume or highest-pain call type and build a working voice agent around it. Connected to your telephony, reading and writing to your CRM, tested on real calls. At the end of week four you hear the agent handle a live conversation and decide whether to go further.

Go or no-go decision with the numbers in front of you.

2

Production (6 to 8 weeks)

Scale to your top 3 to 5 categories

Router agent plus specialised sub-agents for each call type. PII redaction, recording consent, audit logs, and CRM writes all included. First production call typically lands within about 8 weeks of kickoff.

A multi-agent voice system handling real customer calls.

3

Managed Optimisation Retainer

Optional, ongoing after go-live

Prompt tuning, automated QA scoring, compliance monitoring, new agent additions, and language expansion. Most clients take it because the second-month gains are usually larger than the first.

Continuous improvement without tying up your own team.

How long does a voice agent take to deploy?

Three phases. Fixed time per phase. You know the timeline before you sign.

Single call category

3 to 4 weeks

Voice Agent Pilot

Single-flow proof of concept on your top call category. Working voice agent on your data, your CRM, your telephony.

  • One call category, end to end
  • Telephony and CRM connection
  • Live test calls with measured accuracy
  • Go or no-go decision with numbers
Book a discovery call
Most popular

Multi-agent rollout

6 to 8 weeks

Production Build

Multi-agent, CRM and telephony integrated voice system across your top 3 to 5 call categories.

  • 3 to 5 call categories
  • Router plus specialised sub-agents
  • PII redaction, recording consent, audit logs
  • UK or EU region deployment
  • First production call within about 8 weeks
Book a discovery call

After go-live

Ongoing

Managed Optimisation Retainer

Tuning, QA, monitoring, compliance, and ongoing agent additions after go-live.

  • Continuous prompt and tool optimisation
  • Real-call QA and quality scoring
  • Compliance and incident monitoring
  • New agents and languages added on request
Book a discovery call

Fixed-time delivery for each phase. Timelines confirmed at the end of discovery.

Custom build, SaaS platform, or in-house team?

How a Softblues custom voice agent compares to other options on the market.

What mattersSoftblues customSaaS voice platformIn-house teamLarge SI
Time to first production callAbout 8 weeksDays to weeks6 to 12 months6 to 12 months
Fits your processes exactlyYes, designed to your flowsGeneric flows onlyYes, but slowYes, but expensive
Deep CRM read and writePer-object writes during callLimitedYesYes
UK or EU data residencyConfigurable per deploymentVendor defaultYesYes
Pricing modelFixed-price phasesPer-minute or per-seatInternal costTime and materials
Specialised telephony or complianceSupportedLimitedPossibleSupported
Ongoing optimisationManaged retainer after go-liveSelf-serve consoleInternal teamDay-rate change requests
Security and compliance

Is this safe to deploy in a regulated business?

Built for UK and EU compliance from day one, not added as an afterthought.

UK and EU data residency

Deployed on Google Cloud in your chosen UK or EU region. Audit-ready logging end to end.

Consent and recording controls

Consent capture at the start of every call. Configurable retention. PII redaction before storage.

GDPR, UK DPA, ICO AI guidance

Aligned with UK GDPR, the UK Data Protection Act, ICO AI guidance, and the EU AI Act.

PCI DSS for voice payments

PCI DSS controls for card-not-present voice flows, with DTMF redaction and tokenisation.

HIPAA-eligible configurations

Healthcare-grade configurations with BAAs and segregated environments where required.

Full call analytics in BigQuery

Every transcript, outcome, and tool call lands in BigQuery for QA, BI, and model improvement.

UK GDPRUK Data Protection ActGDPRICO AI guidanceEU AI ActPCI DSSHIPAA-eligibleGoogle Cloud Partner

Why Softblues for voice AI?

Three facts you can verify before you book a call.

We run the same stack ourselves

Oliver, our own voice and chat assistant, handles every conversation on this website. Seven agents, one router, the same architecture we deploy for paying clients. You can talk to it right now.

Three production systems live today

Roof Maker (8 agents, 97% accuracy), an HR Tech voice interviewer (300+ interviews per week, 3 languages), and a US arrears recovery agent (outbound and inbound, CRM-integrated). Real calls, real outcomes, real data.

Fixed phases, no open-ended billing

Every engagement is fixed-time: Pilot in 3 to 4 weeks, Production in 6 to 8 weeks, optional Retainer after that. Built on your CRM, your telephony, your data. UK or EU residency by default.

Frequently asked questions

Everything buyers, IT leads, and compliance teams ask before signing.

How do we get started?

Book a discovery call. We spend 30 minutes mapping your top call categories, current telephony, CRM, and the rules a voice agent would need to follow. If there is a real fit, we move into a 3 to 4 week Pilot on a single call category. You see a working agent on your data, your CRM, and your numbers before any commitment to a full production build.

How is an AI voice agent different from an IVR or chatbot?

An AI voice agent holds a natural, real-time conversation. It understands intent, asks clarifying questions, retrieves data from your systems, takes actions such as booking, payment, or ticket creation, and hands off to a human with full context. IVRs are rigid menus. Chatbots are text-only. Softblues builds voice agents that combine speech recognition, large language models, and real-time voice synthesis to sound and behave like a trained agent.

How long does it take to deploy a voice agent?

Three phases, with a fixed time per phase. The Pilot on a single call category takes 3 to 4 weeks. The full Production build covering your top 3 to 5 call categories takes 6 to 8 weeks, with the first production call typically live within about 8 weeks of kickoff. An optional Managed Optimisation retainer runs continuously after go-live, covering tuning, QA, monitoring, compliance, and ongoing agent additions. You know the timeline before you sign.

How do you handle call recording, consent, and GDPR or UK DPA?

Deployments run on Google Cloud in the UK or EU region of your choice. Consent capture happens at the start of the call, recording retention is configurable per use case, and PII redaction is applied automatically before storage. We align with UK GDPR, the UK Data Protection Act, GDPR, ICO AI guidance, and the EU AI Act. PCI DSS controls for payment voice flows and HIPAA-eligible configurations for healthcare are both supported.

How do you integrate with our telephony and CRM?

We connect through SIP trunks for PSTN, or directly with Twilio, Vonage, Genesys, Amazon Connect, Zoom, or Microsoft Teams. CRM and ticketing integration is built for Salesforce, HubSpot, Zendesk, ServiceNow, and custom APIs. The agent reads and writes records in real time during the call, including creating tickets, updating opportunities, and logging structured call summaries.

What is the latency like and does it feel natural?

End-to-end response latency is typically under 800 milliseconds, within the range of a natural human conversation. We use streaming speech-to-text, low-latency LLM inference, and streaming text-to-speech so the agent starts speaking as soon as it has a response, not after the whole reply is generated.

Do you build both inbound and outbound voice agents?

Yes. Inbound agents answer customer calls, handle support, take bookings, and route to humans. Outbound agents run campaigns: appointment reminders, lead qualification, payment collections, satisfaction surveys, no-show recovery. Both share the same underlying multi-agent architecture.

What languages and accents do you support?

Our stack supports 40+ languages and regional accents, including direct audio-to-audio translation. We choose the speech-to-text, text-to-speech, and LLM combination that best fits your target markets. Deployments in English, German, French, Spanish, Italian, Polish, Ukrainian, Japanese, and Mandarin are all in production.

Start with a 3 to 4 week Pilot on your top call category

Book a discovery call. We map your highest-volume call type, build a working voice agent around it, connect it to your CRM and telephony, and put it on real test calls. You hear it work before you commit to anything else.

Google Cloud Partner. Production voice AI across manufacturing, HR, and consumer finance.