Agent Engineering
Agentic AI Development
We engineer complete agentic systems where AI reasons through multi-step processes, uses tools, coordinates workflows and operates under defined constraints.
- 01INTENTA goal enters the system.
- 02PLANThe work is broken into steps.
- 03ORCHESTRATESteps are routed to agents and tools.
- 04TOOL.CALLActions run through controlled tools.
- 05STATEProgress is persisted and recoverable.
- 06RESULTOutput is delivered, traced and evaluated.
What it is
This is the umbrella service for customers who need a complete agentic system rather than one isolated agent. The model is one component; we engineer the system around it — orchestration, tools, state, memory, retrieval, approvals, evaluation, security, runtime and deployment.
We prefer simple architectures, and add orchestration and more agents only when they create real value. More agents do not automatically mean a better system.
When you need it
- SIGNAL 01The problem spans several workflows, systems and decisions, not one task.
- SIGNAL 02You need orchestration, state and human approvals, not only a model call.
- SIGNAL 03Several agents or tools have to work together inside one controlled runtime.
- SIGNAL 04The system has to integrate with production software your business already runs.
What we build
The engineering.
- 01
Agentic system architecture
The right shape for the workload, from a single agent to supervisor and specialist designs, chosen for the problem rather than the trend.
- 02
Agent and workflow orchestration
Sequential, parallel and event-driven workflows, with agent handoffs where the work genuinely calls for them.
- 03
Tool execution
A controlled layer for everything the system can do in the outside world.
- 04
State, memory and retrieval
What the system needs to remember, what it needs to look up, and where each lives.
- 05
Human approval workflows
Checkpoints where a person reviews, approves or corrects the system's next action.
- 06
Agent runtime design
The runtime the system executes in, designed for long-running work, recovery and scale.
How it works
One run, end to end.
- 01
INTENT
A goal enters the system.
- 02
PLAN
The work is broken into steps.
- 03
ORCHESTRATE
Steps are routed to agents and tools.
- 04
TOOL.CALL
Actions run through controlled tools.
- 05
STATE
Progress is persisted and recoverable.
- 06
RESULT
Output is delivered, traced and evaluated.
What it integrates with
Chosen for the workload and your environment — not a preferred provider.
- MCP
- A2A
- APIs
- Retrieval systems
- Vector databases
- Traditional databases
- Enterprise systems
- Model gateways
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
- Workflow and trajectory evaluation across the whole run, not only the final answer.
- Regression testing across releases of prompts, tools, models and orchestration.
- Latency and cost measured per task before release.
POLICY
How we secure it
- Identity and permissions for every agent and tool in the system.
- Human approval gates and policy enforcement at the orchestration layer.
- Sandboxed execution and runtime isolation where actions are risky.
RUNTIME
How we deploy it
- Deployed where the system must run, including private and air-gapped environments.
- Versioned agents, models and policies with controlled rollbacks.
TRACE
How we operate it
- End-to-end traces across agents, tools, handoffs and guardrails.
- Continuous evaluation and improvement from production data.
What you receive
Engineering outputs, not a deck.
We do not hand over a prototype and leave production engineering to you.
- 01A production agentic system integrated with your existing software
- 02System architecture, documented, with the reasoning for each choice
- 03Orchestration, state and memory designed for the workload
- 04Evaluation suite covering workflows and trajectories
- 05Security model covering identity, permissions and approvals
- 06Runtime, observability and release pipeline in place