Identity and access
Name the agent, accountable owner and permitted sources and tools. Qualify tenant boundaries, least privilege and revocation in the deployment.
Agent Governance / Enterprise responsibility
Keep authority over every agent.
Put business agents to work with clear accountability. Define who an agent acts for, which systems it can reach, when people approve and what evidence the workflow must retain. Keep those boundaries in place as agents improve.
Controls are configured and qualified for the agreed deployment. The workflow below illustrates the review model.
Illustrative policy boundary
01 / Propose an action
The agent prepares a supplier record update with source references.
02 / Check the boundary
Identity, permitted tool, budget and approval policy determine the next step.
03 / Approve, reject or escalate
The authorized reviewer decides. The workflow records the decision and outcome.
Control scope
Agree the operating contract for every agent.
Actions and approvals
Define what the agent may read, propose or change. Set human approval thresholds, exception routing and recovery for consequential actions.
Evidence and accountability
Agree the execution records, source references, policy decisions and usage evidence required to investigate a result. Define access, retention and deletion.
Evaluation and release
Version the agent configuration and policy. Test representative tasks and failure modes. Assign an owner for acceptance, promotion and rollback.
Data use and learning
Authorize feedback and training use separately from execution access. Set tenant boundaries and permitted datasets. Keep access policy outside reward optimization.
Cost and operations
Set workload budgets, operating responsibilities and escalation paths. Review complete cost per accepted task, exceptions and human intervention.
Deployment profiles / Qualified by scope
Choose the boundary for agents, models and learning.
Start with your required boundary. Confirm availability, component placement, data flows and operating evidence with Forward. Grid runs on AWS today; private and disconnected requirements need a separately qualified scope.
Connected enterprise
Define approved external models and services, permitted data flows and operating responsibilities.
Customer-controlled private
Specify which components run in your environment, who operates them and which external dependencies remain.
Disconnected sovereign
Scope local identity, control, models, tools, evidence, learning and updates. Qualify the complete dependency path before an offline commitment.
Enterprise and government assurance
For public-sector and regulated work, agree workload classification, accountable decision authority, security evidence, procurement requirements and operating responsibilities. Hosting location alone does not establish readiness.
Continuous improvement / Controlled learning
Every accepted outcome can inform the next improvement.
Build a loop from business execution to measured improvement. Agent feedback helps propose and score changes. Verified outcomes and independent evaluation determine whether they work.
- 01
Business task
A defined job and acceptance criteria.
- 02
Governed execution
Authorized context, tools and action limits.
- 03
Verified feedback
Outcomes, expert review and calibrated agent judgments.
- 04
Reward-based training
Authorized signals update an eligible policy.
- 05
Independent evaluation
Held-out quality, policy, latency and complete cost.
- 06
Approved release
An accountable owner or pre-authorized policy governs promotion and rollback.
Illustrative learning lifecycle. Execution permission does not grant training permission. Training changes eligible model or policy weights; prompt and tool changes have their own evaluation path. Learning cannot expand agent permissions. Deployment, training and release gates are agreed for each engagement.
Make the controls reviewable.
Forward-deployed teams scope the workflow and test the applicable controls with your business, IT and security owners. Runtime features, integrations, evidence and operating commitments are confirmed for your engagement.
Build the agent and its operating boundaries together.
Bring the workflow, systems, approval policy and learning requirements. Agree the controls and evidence before production acceptance.