Autonomous agentsthat get work done
We build AI agents that automate workflows, handle customer interactions, and make intelligent multi-step decisions — freeing your team to focus on what matters.
Intelligent agent systems
Multi-Agent Orchestration
Complex systems where multiple AI agents collaborate, delegate tasks, and coordinate to solve multi-step problems.
Customer Support Agents
AI agents that handle tier-1 support across chat, email, and voice — escalating only when genuinely needed.
Internal Knowledge Agents
Company-wide AI assistants that answer employee questions using your internal docs, wiki, and knowledge base.
Process Automation Bots
Agents that automate repetitive business workflows — data entry, report generation, approval flows, and more.
Browser & API-Calling Agents
Autonomous agents that browse the web, call external APIs, fill forms, and execute complex digital tasks.
Agent Evaluation Frameworks
Custom testing and evaluation pipelines to measure agent accuracy, reliability, and safety before deployment.
From workflow to autonomous agent
Workflow Mapping
We map your existing workflows to identify the highest-ROI automation opportunities for AI agents.
Agent Architecture Design
Design the agent system — tools, memory, reasoning chains, and guardrails — before building.
Development & Training
Build agents with LangChain, CrewAI, or custom frameworks, with iterative prompt engineering.
Integration & Testing
Connect agents to your systems (CRM, ERP, databases) with comprehensive safety testing.
Guarded Rollout
Staged deployment with human-in-the-loop oversight, gradually increasing agent autonomy.
Monitoring & Optimisation
Real-time agent performance dashboards, failure analysis, and continuous improvement cycles.
Use Cases
- Automated customer support
- Sales outreach & lead qualification
- Document review & summarisation
- Data extraction & entry automation
- Code review & PR agents
- Research & competitive intelligence
- Appointment scheduling & follow-ups
- Compliance monitoring agents
Tech Stack
Clear deliverables, honest timelines
Deliverables
- Production agent system with tools, memory, and orchestration layer
- Sandboxed action environment with audit trail of every tool call
- Human-in-the-loop approval flows for high-risk actions
- Evaluation suite covering happy paths, edge cases, and adversarial inputs
- Cost, latency, and success-rate dashboards per agent and per workflow
- Runbooks for failure modes, escalations, and on-call response
Typical Timeline
- 1Workflow mapping & ROI analysis1–2 weeks
- 2Agent architecture & prototype2–4 weeks
- 3Tool integrations & evaluations4–8 weeks
- 4Guarded rollout & monitoring2–4 weeks
Indicative ranges based on typical engagements. Final timelines are scoped during discovery — we don't commit to dates we can't honour.
Fixed Scope
Tightly-scoped milestones with a flat price — no surprise invoices.
Dedicated Team
A senior engineer or pod working with you weekly on a retainer.
Discovery Sprint
A short paid sprint to de-risk requirements before a larger build.
Questions, answered honestly
Ready to automate
with AI agents?
Let's identify the workflows where AI agents can save you the most time and money.
Book a Discovery Call