Agents that don't just answer, they act
From voice assistants that handle live phone calls to autonomous multi-agent systems that orchestrate whole workflows, we design, build, and operate the right kind of agent for the job, with the guardrails and evaluation to trust it in production.
Types of agents
One discipline, many shapes
"Agent" covers a wide spectrum. Choosing the right kind for each task, and knowing when to combine them, is half the work. Here are the agents we build most.
Voice agents
Real-time speech agents that listen, understand, and respond by voice, over the phone, in apps, or on devices, with natural turn-taking and barge-in.
- Inbound and outbound phone agents (booking, triage, reminders)
- Voice-first support and IVR replacement
- In-app and device voice assistants
- Live transcription, summarisation, and call routing
Conversational & chat agents
Text-based assistants that hold context, answer in your brand voice, and guide users to an outcome across web, app, and messaging channels.
- Website and in-product copilots
- WhatsApp, SMS, and Slack/Teams bots
- Lead qualification and onboarding assistants
Knowledge & RAG agents
Agents grounded in your documents and data through retrieval, so answers are accurate, cited, and traceable rather than guessed.
- Internal knowledge-base and policy assistants
- Document Q&A over contracts, manuals, and wikis
- Cited research and compliance lookups
Workflow & tool-using agents
Agents that take action by calling your tools and APIs, completing multi-step tasks rather than only describing them.
- CRM, ticketing, and ERP automation
- Data entry, enrichment, and reconciliation
- Scheduled jobs and event-driven automations
Autonomous agents
Goal-driven agents that plan, act, observe the result, and adapt over multiple steps, within guardrails you define.
- End-to-end task completion from a single goal
- Self-correcting loops with retries and checks
- Long-running background workers
Coding agents
Developer agents that read a codebase, make changes, run tests, and open pull requests, accelerating delivery with humans in review.
- Feature implementation and bug fixes
- Test generation and code review assistance
- Migrations and large-scale refactors
Research & analysis agents
Agents that sweep many sources, verify claims, and synthesise structured, cited findings, deep research at a pace people can't match.
- Market, competitor, and due-diligence research
- Multi-source data gathering and summarisation
- Report and brief generation
Browser & computer-use agents
Agents that operate software the way a person does, navigating a browser or desktop to complete tasks where no API exists.
- Form filling and portal navigation
- Web data extraction and monitoring
- Legacy-system automation without integrations
Multi-agent systems
Teams of specialised agents that plan, divide work, and hand off to each other under an orchestrator, for tasks too broad for one agent.
- Planner / worker / reviewer pipelines
- Parallel fan-out with a synthesis step
- Supervisor agents that route to specialists
Customer support agents
Voice and chat agents that resolve tickets end to end, deflecting routine volume and escalating to humans with full context.
- Tier-1 deflection across voice and chat
- Order status, returns, and account actions
- Smart escalation with conversation handoff
Spotlight · Voice
Voice agents that hold a real conversation
Voice is the agent type most teams underestimate. Done well, a voice agent answers on the first ring, understands natural speech with interruptions, takes action in your systems, and hands off to a human with full context when it should.
We build low-latency voice agents for phone and in-app use, tuned for your scripts, your tone, and your compliance requirements.
- Inbound and outbound phone calls
- Natural turn-taking and barge-in
- Booking, triage, reminders, and follow-ups
- Live transcription and call summaries
- Warm handoff to human agents
- 24/7 coverage across time zones
How we build it
Whatever the agent type, the engineering around it is what makes it safe to ship: clear boundaries on what it can do, evaluation that proves it works, human-in-the-loop where it matters, and monitoring once it's live.
Outcomes
- Work handled end to end, not just suggested
- 24/7 coverage across voice and chat channels
- Agents you can trust because they are measured and bounded
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