SERVICES / AI AGENTS & MCP

Build useful agents with clear boundaries and accountable access.

Agent workflows, Model Context Protocol integrations, evaluation and governance.

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IN PRACTICE

The work behind the outcome

Choose the right workflow

Identify a bounded task, the data it requires and the human decision points it must preserve.

Constrain every tool

Scope MCP tools by identity, action and data; validate inputs and outputs; keep secrets out of prompts.

Evaluate behavior

Test authorized tasks, misuse paths, failure states and audit events before increasing autonomy.

ANIMATED DELIVERY PATH

How the work moves from insight to action

An animated view of the major decision points. Each stage produces evidence for the next.

Select

Choose a bounded, valuable agent workflow.

Scope

Define tools, data and trust boundaries.

Authorize

Apply identity and action-level permission.

Evaluate

Test behavior, misuse and failure states.

Govern

Monitor operation and preserve human oversight.

Stage 01 of 05 · Select

CAPABILITIES

Where we focus

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Agent use-case selection and workflow design

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MCP server and tool architecture

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Identity, authorization, evaluation and human oversight

DELIVERABLES

What you can expect

An engagement shaped around your environment, priorities and decision points.

01Agent architecture and threat model

02MCP integration plan

03Evaluation and operating controls

ENGAGEMENT

A practical way forward

We begin by confirming goals, constraints and existing evidence. From there, we define a focused scope, review the current state and provide decisions your team can act on.

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