Service
Agentic Automation
Bounded agents that plan, use approved tools, keep durable state, verify work, escalate uncertainty and resume interrupted jobs.
An agent is software that is allowed to decide its next step. That is powerful, and it is also exactly why it needs boundaries. We design agentic systems that understand a goal, plan steps, use approved tools, maintain durable state, verify their work, escalate uncertainty and resume interrupted jobs.
We also tell you when you do not need an agent. A deterministic workflow or a single LLM step is often cheaper, faster and easier to trust — we compare the options against a baseline before adding autonomy.
What we build
Tool design & permissions
Typed tool inputs, server-side validation, read/write separation and least privilege — the agent acts with the requesting user's permissions, never a database bypass.
Approval gates
Consequential actions require explicit approval of the exact proposed operation, validated outside the model.
Durable state & recovery
Checkpoints, stop conditions and failure budgets so long-running work can be interrupted, inspected and resumed.
Tracing & evaluation
Correlated traces of retrieval, tool calls, model versions, latency and cost, plus task-level evaluation and adversarial tests.
What you can expect
- Automation with a clear, auditable boundary of authority
- Agents that can be interrupted, inspected and resumed
- An honest decision on where an agent is — and is not — justified
Frequently asked questions
What is the difference between an AI workflow and an AI agent?
A workflow follows steps you define in advance, with models used inside some steps. An agent chooses its own next step and tools. Agents add flexibility but also cost and risk, so we only recommend them when that flexibility improves the outcome.
How do you keep an agent safe?
By constraining what it can do rather than hoping it behaves: scoped tools, the user's own permissions, approvals for consequential writes, budgets, stop conditions and full traces of every action.
Do you use MCP or agent frameworks?
Where they help. We use direct tool-calling, orchestration frameworks and MCP integrations as appropriate, but authorisation and validation always live in your system, not in the framework.
Related services
Start with a focused discovery workshop
We map the business outcome, the current process, the data and the constraints — then agree the smallest production-ready version worth building.