Outcomes
- Typed UI
- Auth-aware workflow
- Audit trail
- Metrics baseline
- Release backlog
Service package
Internal AI Reviewer App MVP with Audit Trails and Typed Workflows
An eight-to-twelve-week internal application for reviewers who need typed queues, evidence visibility, approval states, feedback, and an auditable separation between generation and action.
Internal AI product
Starting from $95k.
Buyer fit: Organizations ready to build a concrete internal AI tool rather than another detached chat surface.
Timeline: Typical duration: 8–12 weeks.
Scope boundary: Not a public production outcome claim until deployed, tested, and reviewed in the client environment.
Sample artifact: MVP implementation plan or initial app surface with reviewer states.
Deliverables
- MVP scope
- UX flow
- API/service boundaries
- review queue
- deployment notes
Sample artifact template
AI Reviewer App MVP Brief
A product brief for an internal AI app with typed UI, reviewer states, audit trail, and deployment boundaries.
User workflow
- submit source
- generate draft
- review changes
- publish approved output
System boundary
- UI
- API
- AI gateway
- audit log
MVP release gate
- roles
- test cases
- logging
- rollback
Questions answered
What this package resolves before implementation
Use the one-pager and sample artifact to decide whether this scope fits your current risk.
What UI does a reviewer need?
Which roles can approve?
What audit fields are mandatory?
What does the MVP explicitly not do?
Service detail
Who this package is for, what it covers, and how acceptance is reviewed
The page separates buyer fit, technical scope, integration, governance, client responsibilities, and proof so a technical evaluator can assess the package without relying on generic claims.
Who this is for
- Organizations ready to build a concrete internal AI product.
- Teams with defined reviewers, source systems, and a bounded workflow.
- Buyers who need more control than a chat interface provides.
Who this is not for
- An unrestricted autonomous platform.
- A production-scale replacement for every workflow in the first release.
- An MVP without product owner, reviewer roles, or integration access.
Systems and workflows in scope
- Reviewer and triage workbenches
- Documentation or policy review
- Analyst assistance
- Migration-note and test-case review
- Exception handling
- Internal workflow tools
Problems this package answers
- How do reviewers see sources and uncertainty?
- How are work items assigned and prioritized?
- What states can a work item enter?
- Which user roles can approve or override?
- What evidence is retained for audit and evaluation?
Technical approach
Implementation depth without unsupported guarantees
The exact architecture depends on the system, evidence, access, and risk. These sections show the normal design surface and the boundaries buyers should expect to review.
Technical design
- Typed, server-rendered or SPA-light UI as appropriate
- API and identity boundary
- Model gateway and policy/review layer
- Review queue and role model
- Audit log and observability baseline
- Deployment and handoff plan
Integration and data handling
- REST/OpenAPI boundaries
- Identity and role integration
- Approved source repositories
- Optional local or managed model gateway
- Audit/event destination
- Downstream action interface kept separate from generation
Security, review, and governance
- Authentication and role-aware authorization
- Source and record-level visibility
- Least-authority integration
- Audit history and immutable-event considerations
- Explicit production-action approval boundary
Timeline and responsibilities
What the client provides and what acceptance means
The published timeline assumes timely access to the agreed evidence, system owners, reviewers, and decision makers. Delays in access, source ownership, regulated-data handling, or review can change delivery sequence without changing the public price floor.
Client inputs
- Product owner and named reviewer roles
- Workflow states and acceptance rules
- Representative source material
- Identity and integration constraints
- Deployment environment and support expectations
Acceptance criteria
- Reviewers can complete the bounded workflow end to end
- Sources and evidence remain visible
- Roles and state transitions are enforced
- Audit events are captured
- Known failure states have fallback or escalation paths
Example artifacts
- System boundary diagram
- UX flow
- Typed workflow schema
- API contract
- Role and permission map
- Audit-event map
- Release backlog
Package FAQ
Questions to resolve before the engagement begins
Is the MVP production-ready?
The package is designed to produce a reviewable, deployable first product within agreed scope, but operational hardening and scale depend on the target environment.
Can the app integrate with existing identity?
Yes where the client environment exposes an approved integration path. Identity and authorization are included in scope planning.
Why use a reviewer app instead of chat?
A reviewer app can enforce typed states, evidence visibility, roles, audit events, and repeatable workflow controls that chat alone does not provide.
Next step
Confirm fit before sharing private system details.
Use the fit call for an early conversation or request assessment scope when the buyer, system, and decision are already clear.
Next step
Start with a short fit call, then scope the assessment.
The first conversation should decide whether the next step is a fixed-scope assessment, modernization blueprint, governed AI pilot, or reliability review.
Book a 20-minute fit call