Agentic AI

Agentic AI for Bounded Multi-Step Tasks

We build agentic systems that plan and execute multi-step tasks—but only within carefully defined boundaries, with human approval gates and full observability.

Task Scoping and Action Allowlists

Agentic systems are scoped to a documented task, approved tools, permitted actions, and explicit prohibitions. Allowlists, step limits, time limits, cost budgets, and approval gates reduce the opportunity for uncontrolled action but are not treated as perfect containment. The design includes rejection and exception paths for requests outside the expected operating envelope, plus testing for bypass and partial-completion scenarios.

Least Privilege and Sandboxing

Tools and service identities receive the least privilege practical for the task. Sandboxing, network boundaries, scoped credentials, state limits, and short-lived task context are used where the selected infrastructure supports them. Access is reviewed because permissions, integrations, and dependencies change over time. Agent memory and stored state are documented with retention and deletion behavior rather than assumed to be isolated or private by default.

Prompt-Injection Defenses and Output Validation

External content is treated as untrusted and may contain prompt injection, misleading instructions, or hostile payloads. The architecture separates trusted policy from retrieved content where possible, validates structured outputs, constrains tools, and requires approval for high-impact steps. Observation records available actions, tool calls, approvals, and errors; it does not reveal hidden reasoning. Suspicious or ambiguous results stop, fail closed, or move to human review according to the approved policy.

Rollback, Recovery, and Incident Handling

Things go wrong. We plan for it. Rollback procedures restore the system to a known good state. Recovery steps define how to handle partial completions. Incident handling includes who to notify, what to log, and how to review. We never market unsupervised autonomy—every agentic system we build has human checkpoints at critical junctures.

What the engagement can produce

Practical deliverables

Task and Action Allowlist

A formal definition of the task, permitted actions, and explicit prohibitions.

Sandbox and Permission Architecture

A diagram and description of the agent's environment, permissions, and isolation boundaries.

Validation and Approval Gate Spec

Rules for output validation, plus the specific points where human approval is required.

Incident Response and Rollback Plan

A step-by-step guide for handling failures, including rollback triggers and recovery procedures.

Explore agentic AI safely

Let's design a multi-step agent with boundaries, approvals, and rollback built in from the start.