Service · AI Agents
Deep Agentic Systems
The path to a more autonomous organisation: workflows that run on their own, with proven savings, established inside your teams.
Selected workflows run on their own for hours rather than minutes: research that deepens itself, changes that implement, test, and evidence themselves. We design and build the systems for it, prove the saving against what the work costs today, and establish the practice inside your teams.
The situation
Assistance saves minutes. The step change happens where work continues for hours without input: research that deepens itself, a change that implements, tests, and evidences itself. That shifts the economics, because capacity stops scaling only with headcount. The price is discipline, because systems that run alone for hours need boundaries, checkpoints, and recovery, or they produce expensive nonsense.
How we work
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01
Candidates for autonomy
Not every task tolerates autonomy. We identify the workflows where long independent work pays back, and quantify the effort sitting in them today.
Deliverable: Selected autonomy-ready workflows with an effort baseline
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02
Harness and architecture
The frame in which a system can work alone for a long time: task decomposition, memory, tool access, checkpoints, recovery after failure.
Deliverable: Harness architecture with abort and recovery points
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03
Orchestration and guardrails
Multiple agents working together without blocking each other, with cost ceilings and hard limits on anything with outside effect.
Deliverable: Orchestration with cost control and escalation rules
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04
Establishing the practice
We hand over more than a system. We hand over the practice behind it: how tasks are scoped, results reviewed, and systems developed further, so your teams carry it on without us.
Deliverable: An established way of working, a reference implementation, and enabled teams
Fields of action
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Autonomous research and analysis
Questions that span many sources and many hours, with evidenced results rather than a summary.
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Autonomous software development
Changes that implement, test, and justify themselves, embedded in the delivery process and review culture you already have.
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Economics and operation
Cost per unit of work, cost ceilings, abort criteria, and the numbers you use to prove the benefit internally.
What you get
- · Selected workflows that run independently over long stretches
- · Harness and orchestration architecture with boundaries, checkpoints, and recovery
- · Cost transparency per unit of work and demonstrable savings against the baseline
- · A way of working established in your teams, not just a system handed over
- · A reference implementation further workflows can follow
Engagement
- Duration
- Depends on the number and depth of the workflows. We deliberately start with a single one.
- Getting started
- A joint working session in which we review candidates and quantify today's baseline.
- Who is involved
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- · The teams whose work is to run autonomously, as sponsors and reviewers
- · Engineering and operations for integration, boundaries, and cost control
- · Leadership for direction and for what happens with the capacity that frees up
- Format
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- · Built on a real workflow rather than a demonstrator
- · Regular checkpoints with cost and quality numbers
- · Enabling your teams as a fixed part of the engagement, not an appendix