What's the difference between a chatbot and an agent?

A chatbot responds to queries. An agent takes actions. It calls APIs, queries databases, triggers workflows, processes documents, and orchestrates multi-step tasks. Agents are proactive; chatbots are reactive.

What frameworks do you use?

LangGraph, AutoGen, CrewAI, and custom orchestration depending on complexity. We choose based on your reliability requirements and system architecture, not trends.

How do you ensure agent safety?

Every agent has explicit failure modes, human approval gates for high-risk actions, confidence scoring, retry logic, and full audit logs. We never deploy agents that can take irreversible actions without human approval.

Can agents work across multiple systems?

Yes. Our agents integrate with APIs, databases, document stores, email, Slack, CRMs, ERPs, and custom tools. Cross-system orchestration is a core capability.

Service/Operations

AI Agent Development

Autonomous AI agents that use tools, make decisions, and get work done.

$150k - $300k12 to 16 weeks

We build specialised AI agents that go beyond chatbots: agents that use APIs, query databases, process documents, browse the web, and orchestrate multi-step workflows. Every agent includes reliability safeguards, human escalation, and full audit trails.

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Key outcomes

Autonomous agents handling complex multi-step workflows
Tool-calling agents integrated with your existing systems
Full audit trail and human oversight at critical decision points

Delivery speed

Scoped per engagement

Agent architecture with tool definitions and state machineMulti-agent orchestration (if applicable)Tool integrations: APIs, databases, document processingEvaluation harness and reliability testingProduction deployment with monitoring and escalationAgent architecture with tool definitions and state machineMulti-agent orchestration (if applicable)Tool integrations: APIs, databases, document processingEvaluation harness and reliability testingProduction deployment with monitoring and escalation

Who it's for

Built for teams that need this now

This service was designed around a specific kind of problem. If any of these sound like your team, you're in the right place.

Operations teams

Wanting to automate complex, multi-step workflows that go beyond simple rule-based automation

Product teams

Building intelligent features that need to call APIs, process data, and make decisions autonomously

Enterprise innovation teams

Exploring agentic AI for competitive advantage in their core business processes

Common triggers

Signs you need this

Most teams come to us after one of these moments. Recognise any of them?

Your workflows involve too many manual steps that could be automated intelligently

Rule-based automation breaks on edge cases and requires constant maintenance

You need AI that can use tools, not just generate text

You want agents integrated with your existing systems (CRM, ERP, databases)

You need production reliability, not a ChatGPT wrapper

Recognise two or more of these?

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100%

Code and IP yours

How we deliver

4 phases to production

Every engagement follows a structured delivery process with clear artifacts at each stage - so you always know exactly where you are.

Design

Agent Architecture

Workflow analysis and agent scope definitionTool definition schema and API mappingsState machine and decision tree designHuman-in-the-loop framework and escalation rules

Build

Agent Development

Agent implementation with tool integrationsMulti-agent orchestration (if applicable)Unit and integration test suiteEvaluation harness with pass/fail criteria

Harden

Reliability Engineering

Adversarial input testingRetry logic and fallback pathsConfidence scoring and rejection thresholdsFull audit trail implementation

Deploy

Production & Monitor

Production deployment with auto-scalingMonitoring dashboard with cost and quality metricsHuman review queue for escalationsPerformance tuning and prompt optimisation

Questions