AI is moving from answering questions to doing work, planning and executing multi-step tasks. Adoption is accelerating fast, but analysts also expect a large share of agentic projects to be cancelled, because teams over-scope autonomy before they have the guardrails. The winners deploy bounded autonomy with humans in the loop.
An agent with too much autonomy and too little oversight is a liability, not an asset. We build agents that handle the repetitive steps while people approve the consequential ones, with permission scoping, evaluation, and full audit trails.
of agentic AI projects will be cancelled by end of 2027, usually for missing guardrails.
Gartner, 2025How we cover it, end to end
Bounded autonomy
Agents plan and act toward a goal using tools and your data, but within clear permission scopes and guardrails, not a black box with the keys.
Human-in-the-loop
People approve high-stakes actions at defined checkpoints, with kill switches and audit trails, so you get speed without losing control.
The workflow, in motion
The agent plans and acts, but a human approves the steps that carry risk, bounded autonomy, not a black box.
Concrete, not slideware
- 01
Start with one bounded, high-volume workflow with clear success metrics
- 02
Give the agent scoped tools and access to the right data, nothing more
- 03
Put human checkpoints on consequential steps, with kill switches
- 04
Evaluate continuously and expand autonomy only as trust is earned
Outcomes we hold to
- Repetitive, multi-step work handled autonomously
- Human control on the decisions that matter
- Every action scoped, logged, and auditable
- A project in the 60% that ship, not the 40% cancelled
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