Review current client facts

Client facts

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01
Organization
Northstar Support
02
Maturity
Series A / scaling
03
Mandate
Customer-facing copilots
04
Timeframe
2-week sprint
05
Risk areas
3 selected
06
Engagement
Governance + Eval Buildout
Decision posture
Critical

Customer-facing copilots is not launch-ready. Treat this as a control-build engagement before any expansion, with executive sign-off and evidence review before release.

Drafts stay in this browser. Scope rules run locally with no AI or background API call.
03Live scope

Review the engagement dossier.

This document updates from the client facts and selected risks. Use it to challenge assumptions before turning the recommendation into a proposal.

Live from current brief
AGI Consultant / Engagement dossier

Northstar Support

Customer-facing copilots

DraftSC-020
Recommended engagement

Governance + Eval Buildout

Growth and enterprise teams building repeatable AI assurance operations.

Term
4-6 weeks
Commercial
Scoped retainer
Posture
Critical
01

Executive position

Customer-facing copilots is not launch-ready. Treat this as a control-build engagement before any expansion, with executive sign-off and evidence review before release.

Decision rule: 3 stage + 4 use case + 2 timeline + 1 stack + 10 risk = 20 total.

02

Engagement outputs

  1. 01Intake summary with assumptions, constraints, and launch decision criteria.
  2. 02AI system inventory covering data sources, model vendors, human review, and owners.
  3. 03Prioritized risk register with severity, owner, mitigation, and proof needed.
  4. 04Customer journey risk map with launch approval gates.
  5. 05Golden-task evaluation pack with acceptance thresholds.
  6. 06Data handling review covering retention, redaction, and vendor boundaries.
  7. 07Measurement plan for offline evals, review sampling, and production monitors.
  8. 08Engagement roadmap with weekly milestones and decision checkpoints.
03

Control conditions

  • Confirm named business, technical, security, and review owners before work starts.
  • Define stop/go gates for pilot, launch, and rollback decisions.
  • Require golden tasks, reviewer sampling, drift thresholds, and launch-blocking eval gates.
  • Map prohibited data, retention limits, redaction ownership, and vendor logging boundaries.
  • Define offline eval coverage, production monitors, sample rates, and failure triage SLAs.
04

Discovery questions

  1. Who owns executive sign-off for launch, remediation, or pilot expansion?
  2. Which production data can be sampled for evaluation without creating new risk?
  3. What customer, compliance, or security evidence must be produced before launch?
  4. What internal milestone should this engagement unblock?
  5. Which parts of the current stack are mandatory versus replaceable?
  6. Which examples define a correct, borderline, and failed response?
  7. Which data classes are prohibited from model prompts or logs?
  8. What signals will prove the system is safe enough to launch?
Scope assumptions require client confirmation before work starts.Prepared by AGI Consultant
C

Commercial comparison

The recommended row follows the visible decision ledger.

PackageTermCommercialCore outputs
Automation Feasibility Sprint5 business days$6k fixedFeasibility scorecard / Workflow risk map / Pilot backlog
Launch Readiness Sprint10 business days$12k fixedLaunch gate checklist / Eval starter pack / Risk register
Model Risk Audit3 weeks$18k fixedControl review / Red-team plan / Executive findings dossier
Governance + Eval BuildoutRecommended4-6 weeksScoped retainerGovernance operating model / Eval roadmap / Monitoring design