Capabilities

Machine intelligence capabilities built around control, coordination, and evidence

The practice focuses on the durable operating layer around agents: boundaries, coordination, memory, evaluation, policy, authority, and evidence.

EnterpriseGovernmentPartners

Capability map

Six capabilities

Each capability produces an artifact and a decision—not an open-ended technology exercise.

Machine intelligence architecture

Map the system of models, agents, humans, data, tools, queues, services, and external authorities. Define state ownership, event contracts, recovery behavior, and change boundaries.

Current-state and target-state maps
Agent and service boundary model
State, memory, and event contracts
Architecture decision record

Agentic swarm orchestration

Design role-specialized agents, task decomposition, delegation limits, handoff protocols, consensus or adjudication, completion criteria, and deadlock recovery.

Role and responsibility matrix
Task-graph patterns
Handoff and conflict rules
Recovery and escalation paths

Agent control planes and policy

Create the operational surface for identity, permissions, tool access, model routing, budgets, approvals, policy checks, and kill switches.

Policy and authority matrix
Tool and data entitlement model
Budget and rate-limit controls
Emergency containment design

Evaluation, simulation, and release gates

Build representative scenarios that measure task quality, coordination, policy compliance, recovery, cost, latency, and human-review load.

Scenario and fixture library
Coordination and outcome metrics
Failure injection and replay
Release scorecard and thresholds

Memory, knowledge, and context systems

Separate transient state, shared working memory, durable organizational memory, retrieval, provenance, retention, and tenant boundaries.

Memory taxonomy and ownership
Context isolation rules
Retrieval and provenance design
Retention and deletion controls

Human authority, safety, and incident response

Define when agents may recommend, prepare, approve, execute, stop, or escalate—and how incidents are contained and reconstructed.

Authority and approval map
Consequential-action gates
Incident runbooks and replay
Post-incident evidence loop

Design principle

Capability work stays vendor-portable

The operating model is expressed in contracts, evidence, and controls that can survive changes in models, frameworks, and hosting.

Separate business authority from model behavior.
Treat prompts, policies, tools, and evaluation fixtures as versioned system assets.
Make every delegated task attributable to an identity and a parent decision.
Keep memory and evidence portable across orchestration frameworks.
Design fallbacks for provider, model, tool, and data-service failure.

Start with a bounded decision

Choose the blocked decision, then select the capability.

A bounded capability review can stand alone or become the first phase of an implementation engagement.

Discuss a capability Review services