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AI agents & automation

AI agent development company for production automation

We are an AI agent consulting and development company: we design and build AI agents that take real actions inside your systems, scoped, evaluated, secured and cost-engineered.

Where agent projects fail

  • Demos that work until real data arrives
  • No test suite, so every change is a gamble
  • Unbounded tool access and no audit trail
  • Token costs that scale worse than the workload
  • No clear handover when the agent is unsure
Discuss your agent project

Capabilities

What we build and harden

  1. 01

    Agent architecture and scoping

    We start from the workflow, not the framework: which steps an agent should own, which stay human, what tools it may call and where the hard limits sit.

  2. 02

    Tool and system integration

    Agents wired into the systems work actually happens in: CRMs, ERPs, ticketing, internal APIs and databases, with scoped permissions and full audit trails.

  3. 03

    Human-in-the-loop workflows

    Confidence thresholds, approval checkpoints and clean escalation paths, so an uncertain agent asks instead of guessing.

  4. 04

    Evaluation and reliability

    Task-level test suites, regression checks on every prompt or model change, and monitoring that tells you when quality drifts in production.

  5. 05

    Agent security

    Prompt injection defence, permission boundaries, data protection and red teaming before an agent gets access to anything that matters.

  6. 06

    Cost and latency engineering

    Model routing, caching, batching and smaller models where they suffice, measured against real traffic rather than benchmark numbers.

Application areas

Enterprise agents and process automation

Both start the same way: a workflow worth automating, a measurable definition of done, and an honest read on what should stay human.

Enterprise AI agents

Internal agents that operate inside your existing controls: least-privilege access, logged actions, reviewable decisions and predictable failure behaviour.

  • Support and service-desk agents
  • Research and knowledge assistants
  • Multi-agent workflows with tool calling
  • Role-based permissions and audit logs

AI automation services

Repetitive, rules-plus-judgement processes automated end to end, with exception handling for the cases that still need a person.

  • Back-office and operations automation
  • Document-driven workflows
  • Cross-system data reconciliation
  • Straight-through processing with review queues
Explore all servicesCustom LLM & fine-tuningBook an AI architecture consultation

AI agent consulting

Consulting for teams deciding, not just building

Not every engagement starts with code. As an AI agent consulting partner, we help you scope, evaluate and de-risk agent systems before and after the build.

  1. Scoping and feasibility

    Turn an agent idea into a defined workflow with clear boundaries, success measures and an honest read on what should stay human.

  2. Build, buy or adapt

    An independent technical view on whether to build custom agents, adopt a platform or adapt an existing tool.

  3. Agent and vendor assessment

    A structured review of an existing agent or vendor system: accuracy, security, cost behaviour and production readiness.

  4. Architecture and evaluation reviews

    A second opinion on agent architecture, tool permissions, evaluation design and monitoring before you scale.

Book an AI agent consultation

Questions

Common questions

What does an AI agent development engagement look like?
Usually a short assessment of the target workflow, then a proof of concept on the riskiest part of it, then a production build with evaluation, security review and monitoring in place. Your team owns the result.
How is this different from a chatbot?
A chatbot answers. An agent acts: it calls tools, changes records and completes steps. That makes permissions, evaluation and auditability part of the engineering, not an afterthought.
Can you work with an agent we already built?
Yes, and it is a common starting point. We assess what breaks under real traffic: accuracy, cost, latency, security. Then we fix that before scaling.
Do you offer AI agent consulting, or only development?
Both. Consulting engagements cover scoping, build versus buy decisions, reviewing an existing agent's production readiness, and architecture and evaluation reviews. Many consulting clients go on to a development engagement; many do not.