Agent Engineering
AI Agent Development
We design and build custom AI agents that perform multi-step work using models, tools, data, APIs, business applications and controlled actions.
- 01INTENTThe goal arrives from a user, an event or another system.
- 02CONTEXTThe agent gathers the data and knowledge it needs.
- 03MODELIt reasons through the next step.
- 04TOOL.CALLIt acts through a defined, permissioned tool.
- 05APPROVALSensitive actions wait for a person.
- 06RESULTThe work is completed, traced and evaluated.
What it is
An AI agent is not an LLM with a prompt. It is a system that understands a goal, reasons through a task, uses tools, reads and writes the business data it needs, and takes controlled actions inside defined policies.
We start from the work, not the model: what the task is, who does it today, which decisions and systems are involved, which actions can be automated and which need approval. Where a problem is better solved by deterministic software, we say so. The agent is positioned around the work it performs.
When you need it
- SIGNAL 01A task is multi-step, repetitive and currently done by people moving between systems.
- SIGNAL 02You need an agent that acts in your business applications, not a chat window that answers questions.
- SIGNAL 03Your team has a working prompt, but no agent that can be trusted with real tools.
- SIGNAL 04The agent must hand off to a person when it reaches the edge of its authority.
What we build
The engineering.
- 01
Task-based and autonomous agents
Agents scoped to a job, from a single well-bounded task to long-running work that plans and executes over many steps.
- 02
Tool-using agents
Agent tool calling against your APIs, databases and business applications, with every action it can take defined up front.
- 03
Conversational and customer-facing agents
A conversational interface connected to the underlying workflow, so the agent can resolve a request, not only reply to it.
- 04
Human-in-the-loop agents
Approval steps and escalation paths wherever an action needs a person to sign it off.
- 05
Agent state and memory
Short-term state for the task in flight and longer-term memory where the work actually benefits from it.
- 06
Internal and enterprise agents
Agents for operations, engineering, research, finance and knowledge work inside the organisation.
How it works
One run, end to end.
- 01
INTENT
The goal arrives from a user, an event or another system.
- 02
CONTEXT
The agent gathers the data and knowledge it needs.
- 03
MODEL
It reasons through the next step.
- 04
TOOL.CALL
It acts through a defined, permissioned tool.
- 05
APPROVAL
Sensitive actions wait for a person.
- 06
RESULT
The work is completed, traced and evaluated.
What it integrates with
Chosen for the workload and your environment — not a preferred provider.
- APIs
- Function tools
- MCP servers
- Databases
- CRM and ERP
- Ticketing
- Internal APIs
- Search
In production
Production is part of development.
Evaluation, security, deployment and operations begin before release — on this service as on every other.
EVAL
How we test it
- Task-success evaluation against the work the agent is meant to do.
- Tool-use testing, including correct tool selection and call accuracy.
- Regression tests that run on every change to prompts, tools or models.
POLICY
How we secure it
- Least-privilege permissions for every tool the agent can call.
- Human approval gates on actions that should not be automatic.
- Guardrails and prompt injection testing before release.
RUNTIME
How we deploy it
- SaaS, private, self-hosted or on-premises, as the environment requires.
- Agent and model versioning with a tested rollback.
TRACE
How we operate it
- Traces of every model call, tool call and handoff.
- Cost, latency and success rate tracked per task.
What you receive
Engineering outputs, not a deck.
We do not hand over a prototype and leave production engineering to you.
- 01A working agent in your environment, built around the task it performs
- 02Agent architecture and tool definitions, documented
- 03An evaluation suite with a golden dataset for the task
- 04Permission model and approval gates for every action
- 05Tracing and monitoring wired in before release
- 06A release pipeline with versioning and rollback