AI Agents & Agentic Workflows
LLM-driven agents that plan, decide, and act across multi-step work — in-app copilots, ops agents, voice agents. Built with evals, guardrails, and human-in-the-loop gates, not a chat window pasted in the corner.
Key Features
- In-app copilots, ops agents, and voice agents
- Tool permissions, approval gates, and audit trails by default
- Eval baseline shipped with every agent — accuracy has a number
- Voice agents on the TalkDrill pipeline pattern (ASR → LLM → TTS)
- Sprint entry: 4 weeks — scoped, prototyped, measured
Automation follows rules; agents make decisions. An automation routes the invoice; an agent reads the lead, drafts the outreach, books the call, and logs the activity — inside the tool your team already uses.
We ship agents with the discipline they need in production: tool permissions, human-approval gates for consequential actions, audit trails, and an eval baseline so "is it working?" has a number. Our voice-agent pedigree is TalkDrill — a real-time voice AI loop serving 50,000+ users at 4.9★, sub-second in production.
Start with an AI Sprint (4 weeks): your agent scoped, prototyped on your data, with an eval baseline. Production builds land in the AI MVP (greenfield) or Modernisation (into your existing app) tiers.
Benefits of Our AI Agents & Agentic Workflows
Agents that act, not chat
Multi-step task completion inside your existing workflows — the difference between a demo and a colleague.
50,000 users of proof
TalkDrill's voice agent loop runs sub-second in production at 4.9★. We have operated agentic AI at scale, not just built it.
Guardrails engineered in
Permissioned tools, human-in-the-loop gates for consequential actions, full audit trails. Safe enough for ops, finance, and support.
Measured before shipped
Every agent ships with an eval suite. You see task-completion quality as a metric before it touches a customer.
Technologies We Use
We leverage the latest technologies and frameworks to deliver robust, scalable solutions.
How We Work
Our proven process ensures successful project delivery every time.
Pick the job (week 1)
We identify one workflow where an agent completing the task — not answering a question — changes a number you track.
Prototype on your data (weeks 2–3)
The agent runs the real task in a sandbox against your systems, with an eval baseline from day one.
Guardrail & gate (week 4)
Permissions, approval gates, audit logging, and failure behaviour — the Sprint ends with a build/no-build answer.
Production build
Greenfield agents land in the AI MVP tier; agents inside your existing app land in Modernisation. Fixed price either way.
Frequently Asked Questions
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