AI Agents That Take Action — Not Just Answer.
We build production-grade AI agents that plan multi-step workflows, use your tools, and hand back to humans when needed.
Custom chatbot development for businesses across the USA and UK · Response within one business day
Chatbots answer. Agents get things done.
An AI agent looks at a request, decides what to do, calls the right tools in the right order, and reports back. When it's not sure, it asks a human. That's the mental model.
Where agents win
- Multi-step workflows that used to require a human
- Cross-tool tasks (CRM + calendar + email + Slack)
- Repetitive back-office work that follows a pattern
- First-draft work a human then reviews and edits
Where we'd steer you away from an agent
- Simple lookups — use a regular chatbot
- Fully deterministic business logic — put it in code
- Actions with no room for error and no reviewer — automate with rules
- Anything sensitive without a human approval step
What we build into every agent.
Take real actions
Not just chat — the agent creates records, updates tickets, sends emails, books meetings, and calls internal APIs.
Multi-step workflows
The agent plans, executes steps in order, checks intermediate results, and adapts when things don't go as expected.
Uses the right tool
We define a toolkit — search, lookup, write, escalate — and the agent picks the right one for each step.
Human-in-the-loop
For sensitive actions (large refunds, external emails) the agent pauses for human approval before acting.
Guardrails + audit
Every action is logged. Guardrails prevent unsafe operations. You can replay exactly what the agent did.
Deterministic where it matters
Business logic that must be exact stays in code. The agent orchestrates — it doesn't invent policy.
Common places agents earn their keep.
Ticket triage & response
Read incoming tickets, classify, look up context, draft a response, apply fixes for common issues, escalate the rest.
Meeting booking + follow-ups
Qualify a lead, propose times, book the meeting, add to CRM, send confirmation, follow up if no-show.
Data extraction pipelines
Pull data from PDFs, emails, or forms, validate against your database, and file it in the right system.
Research + report drafting
Search internal + external sources, synthesise, and produce a first-draft report — for humans to review and refine.
The agent works in the systems you already have.
How we design + ship agents.
- 01
Discovery
Map the workflow, decision points, and where humans must stay in the loop.
Deliverable: Workflow spec
- 02
Tool design
Define the tools (functions) the agent can call, with strict input/output contracts.
Deliverable: Tool schema
- 03
Planning + reasoning
Build the planner: how the agent decides what to do next. Cheap models for simple steps, powerful for hard.
Deliverable: Reasoning + prompt spec
- 04
Guardrails
Rate limits, permission checks, human-approval gates, and safety filters.
Deliverable: Guardrail policy
- 05
Eval + shadow mode
Run the agent in shadow — it plans, doesn't act — and compare against human decisions.
Deliverable: Shadow eval report
- 06
Deploy + monitor
Roll out with monitoring, cost dashboards, and a kill-switch. Iterate on real behaviour.
Deliverable: Live agent
Agent-project questions we hear most.
Have a workflow ripe for an agent? Let's scope it.
Tell us about your customer questions, business documents, and existing systems. We'll recommend a practical chatbot solution based on your requirements.
No-obligation consultation · Your information stays confidential · Response within one business day.