An agent can take actions through tools, which makes authority and failure handling central to its design. We scope a specific task, define permitted actions and build review and evaluation around the consequences of an incorrect decision.
Discuss your project requirementsDefine the agent objective, available context and permitted tools for a bounded workflow. Identify actions requiring human review, restrict credentials to the necessary permissions and establish stopping conditions when information is missing, conflicting or outside the agreed scope.
Connect structured tool interfaces with validation, timeouts and explicit error handling. Preserve relevant execution context and make repeated actions safe where possible, while giving operators a clear record of proposed actions, completed steps and unresolved failures.
Build representative scenarios covering correct completion, unsafe requests and tool failures. Review agent decisions and action outcomes against agreed criteria, with a process for investigating failures, updating prompts or tools and reassessing behavior before expanding authority.
A reference document-assisted workflow. Source access, answer generation and action approval remain separate decisions.
Retrieve relevant material from approved sources within the requesting user’s permissions.
Check document freshness, deletion, source ownership and permission enforcement.
Illustrative planning model. Your architecture and deliverables are agreed during scoping.
Define the agent objective, available context and permitted tools for a bounded workflow. Identify actions requiring human review, restrict credentials to the necessary permissions and establish stopping conditions when information is missing, conflicting or outside the agreed scope.
AI agents with scoped tools, explicit permissions, human review and evaluation for defined business tasks.
The problem is clear, but the approach is not.
A bounded experiment, findings and a recommendation on what to validate next.
A prototype is not a production-ready service.
You know the workflow and can agree acceptance checks.
Agreed deliverables, verification evidence and operating instructions for the scoped release.
Changes to scope need an explicit decision on cost and timing.
A live system needs focused changes or ongoing care.
A prioritized backlog, reviewed changes and an agreed maintenance or support boundary.
Coverage, response targets and access are agreed per engagement.
Which actions may the agent take without human approval?
What data and credentials can its tools access?
Which failure scenarios must block a release?
Technology is a scoping decision. These are relevant tools and building blocks to discuss against your existing systems, operating constraints and maintenance needs.
Document parsingRetrievalPermissions
Choose source formats and retrieval behavior around the approved material and each user’s access.
Model APIsNode.jsTypeScript
Compare candidate model behavior on representative tasks before committing to a provider or deployment arrangement.
Evaluation setsLogsReview gates
Define an evaluation process and monitor answer quality, latency and operating cost within the agreed privacy boundaries.
Turn quality expectations into reviewable evidence. The exact checks and responsibilities belong in the project scope.
Evaluate answers against expected results and check that cited passages actually support the answer.
Test restricted documents, missing evidence and unsupported tasks; keep consequential actions behind agreed approvals.
Record evaluation cases and limitations so changes to models, prompts or source data can be reviewed before release.
Practical answers to help turn your idea into a scope everyone understands.
AI agents with scoped tools, explicit permissions, human review and evaluation for defined business tasks. The scope can include task and authority boundaries, tool and workflow implementation, evaluation and oversight. Deliverables depend on the agreed workflow and existing systems.
Teams exploring AI-assisted workflows that require tools or multiple steps beyond a single generated answer.
Bring the workflow, user roles, existing systems and anonymized examples. Which actions may the agent take without human approval? Start with a local project brief and share it when you are ready.
The estimate depends on the workflows, integrations, data, review requirements and operating responsibilities. These are agreed for the individual project. A planning brief does not book work or establish a delivery commitment.
Bring the problem you want solved. We’ll shape it into a project brief you can keep — or let AI draft a first approach.
