Unclear authority
The accelerator turns this risk into a concrete readiness question before a pilot proceeds.
AI AGENT READINESS & GOVERNANCE
Prepare one AI agent pilot before autonomy outruns control.
The Pragy AI Agent Readiness & Governance Accelerator helps organizations assess, govern and prepare one bounded AI agent opportunity with clear purpose, data boundaries, human review, operating controls, testing and accountable next steps.
One candidate agent - Governance before build - Human review and fallback - Remote-first delivery
Engagement at a glance
Scope, timing and commercial facts before you enquire.
- Best for
- Teams considering one candidate AI-agent opportunity
- Scope
- One agent purpose, boundary, controls and owner
- Timing
- Confirmed after fit and scope review
- Investment
- CAD $4,500 blueprint; governance from CAD $12,500
- Delivery
- Remote-first and scope-confirmed
- Primary output
- Readiness decision, governance controls and pilot charter
THE READINESS GAP
An impressive agent demo can still be an unsafe operating design.
AI agents introduce new operating questions: what the agent may see, what it may do, when it must stop, who reviews the output, how exceptions escalate, and what evidence proves the workflow stayed under control.
Weak data boundaries
The accelerator turns this risk into a concrete readiness question before a pilot proceeds.
Tool and permission risk
The accelerator turns this risk into a concrete readiness question before a pilot proceeds.
No human-review model
The accelerator turns this risk into a concrete readiness question before a pilot proceeds.
No fallback or stop condition
The accelerator turns this risk into a concrete readiness question before a pilot proceeds.
Pilot without measures
The accelerator turns this risk into a concrete readiness question before a pilot proceeds.
AGENT OPERATING MODEL
Define the agent as an operating role, not a magic worker.
A governed agent pilot needs a clear job, trigger, data scope, allowed actions, tools, review criteria, evidence trail, exception route, fallback and owner. If any of those are unclear, the next step may be redesign, governance or not using an agent yet.
- Purpose and boundaries
- Inputs, retrieval and data minimization
- Actions, tools and permissions
- Human review, escalation and fallback
- Testing, measures and monitoring
WHAT YOU RECEIVE
A decision-ready agent readiness package.
Agent opportunity definition
Documented in practical language for sponsors, process owners, technical teams and reviewers.
Readiness and risk review
Documented in practical language for sponsors, process owners, technical teams and reviewers.
Data and tool boundary summary
Documented in practical language for sponsors, process owners, technical teams and reviewers.
Human-review and escalation design
Documented in practical language for sponsors, process owners, technical teams and reviewers.
Testing and acceptance criteria
Documented in practical language for sponsors, process owners, technical teams and reviewers.
Pilot measures and monitoring plan
Documented in practical language for sponsors, process owners, technical teams and reviewers.
Governance decision record
Documented in practical language for sponsors, process owners, technical teams and reviewers.
SOP and handover outline
Documented in practical language for sponsors, process owners, technical teams and reviewers.
Proceed, pause or redesign recommendation
Documented in practical language for sponsors, process owners, technical teams and reviewers.
PATHWAYS
Choose readiness clarity or governed pilot preparation.
All pathways are scope-confirmed before payment. Public visitors cannot buy a custom service without fit review, technical scope, security/access review and approved terms.
AI Agent Readiness Blueprint
CAD $4,500
Assess one candidate agent opportunity before build or vendor commitment.
- Agent purpose and operating boundary
- Process, data and system readiness review
- Risk, human-review and fallback requirements
- Governance gap summary and pilot charter
AI Agent Governance Accelerator
Starting at CAD $12,500
Design the controls, review model, test plan and operating guardrails for a bounded agent pilot.
- Agent role, tools, permissions and escalation design
- Human-in-the-loop review and approval model
- Prompt, retrieval, logging and evidence requirements
- Pilot measures, UAT plan, SOP and handover pack
Regulated, Multi-Agent or Enterprise Scope
Custom scope
Use custom scoping when the agent may affect regulated records, many systems, high-impact decisions or enterprise architecture.
- Multiple agents, business units or sites
- Custom APIs, identity, security or vendor coordination
- Validated, GxP, quality-critical, HR or sensitive-data use
- Formal architecture, cybersecurity or specialist review
METHOD
From agent idea to governed pilot decision.
- Confirm the candidate agent boundary, owner and intended outcome.
- Review process readiness, data sources, tools, permissions and exception conditions.
- Design human review, escalation, fallback, logs and approval evidence.
- Define testing, UAT, measures, monitoring and stop conditions.
- Recommend proceed, pause, redesign, specialist review or a different automation path.
REQUEST REVIEW
Tell us about one candidate agent opportunity.
Use high-level, non-confidential language. Do not submit credentials, personal data, regulated records, confidential production information, proprietary prompts or system secrets through this form.
CONNECTED PATHWAY
Fits naturally after readiness, governance or workflow work.
FAQ
Questions before an AI agent pilot starts.
Is this an AI agent build?
Not by default. The accelerator confirms whether one candidate agent is ready to be designed, piloted or paused. Build, integration and deployment require an approved scope.
What counts as one agent opportunity?
One opportunity has a defined business purpose, trigger, users, source information, tools or systems, allowed actions, human review, fallback and measurable outcome.
Can an agent make autonomous decisions?
The standard accelerator does not approve autonomous final decisions. Accountable human review, escalation and stop conditions are designed before any pilot proceeds.
Does this include legal or cybersecurity advice?
No. It identifies when legal, privacy, cybersecurity, HR, quality, validation or regulatory review is needed; those specialist decisions remain with the appropriate accountable parties.
Can this be used in regulated environments?
Potentially, but regulated, validated, quality-critical, safety-critical, HR, patient, financial or sensitive-data use requires custom scoping and specialist review.
Which technologies are supported?
The accelerator is vendor-neutral. It may consider existing enterprise AI services, Microsoft 365, Power Platform, retrieval systems, workflow tools, APIs or approved platforms without implying vendor endorsement.
Do we need the Opportunity Map first?
No, if one agent opportunity is already clearly defined and owned. The Opportunity Map is recommended when priorities or readiness gaps are not clear.
Should confidential data be submitted through the form?
No. Do not submit credentials, personal data, patient data, regulated records, confidential production information, proprietary prompts or system secrets through the website form.
Are results guaranteed?
No. Outcomes depend on the operating problem, data, tools, controls, participation, review discipline, risk decisions and client approvals.
START WITH ONE AGENT OPPORTUNITY
Request the Accelerator
Decide whether the agent is ready to pilot, needs redesign, or should not proceed.
Request a scoped readiness and governance review before committing to build, integration or autonomous operation.