AI agents that finish the work — not just suggest it.
Goal-driven agents that plan, call your tools, browse, write, and report back — with proper guardrails, audit trails and human approval where it matters.
From “chat” to “done”.
A chatbot answers a question. An agent takes the next steps: opens the ticket, checks the inventory, drafts the reply, gets it approved and sends it — while leaving a clean trace of what it did.
We design agents around a specific job-to-be-done. We define what they can and can’t do, give them sharp tools, and put humans in the loop for the moments that matter. The result feels like a fast, careful junior teammate — not magic.
- Workflow agents (multi-step business tasks)
- Research agents (gather, synthesise, cite)
- Support agents (resolve tickets end-to-end)
- Sales & outbound agents (qualified outreach)
- Operations agents (back-office automation)
- Coding & review agents (internal dev tooling)
What goes into a real agent.
Planning & reasoning
Decompose a goal into steps, choose tools, recover from errors and explain what it’s doing.
Tool use
Curated tools wrapping your internal APIs, databases, knowledge bases and external SaaS.
Memory & context
Short-term and long-term memory so the agent learns what’s important across sessions.
Guardrails
Allow / deny rules, rate limits, spending caps, content filters and explicit approval steps.
Observability
Per-step traces, costs, latencies and outcome metrics — so you can debug and improve.
Multi-agent design
Specialist agents coordinated by a planner, with clear hand-offs and shared workspace.
From use case to a working agent.
Map the workflow
We document how the task is done today, by whom, with what tools — and where it commonly breaks.
Design the agent
Roles, tools, prompts, memory, guardrails and approval points. We pick the smallest possible scope first.
Pilot & evaluate
Run on shadow mode against real cases. Compare outcomes to humans. Iterate the prompt and tooling.
Roll out & expand
Move from shadow → assisted → autonomous on the cases where the agent has earned trust.
Where agents already pay back fast.
Tier-1 support resolution
Agents that read the ticket, check the systems, draft the response and complete simple actions — with human approval.
Research & due diligence
Targeted research with structured outputs and citations — from market scans to vendor assessments.
Sales operations
Lead enrichment, CRM hygiene, follow-up drafting and pipeline summaries the team actually uses.
Back-office automation
Invoice processing, document checks, exception handling — with rules and judgement combined.
Internal IT & HR
Self-service agents for access requests, onboarding, FAQ-driven support and policy lookups.
Engineering helpers
Triaging issues, drafting tests, summarising PRs and watching deploys — with the team in the loop.