Define the assignment
IP retains planning, dependencies, versioned implementation personas, work coordination, approvals, and the delivery record. Approved coding resources perform repository implementation and corrective work.
IncrementPilot plans and coordinates software delivery, gives approved coding resources a bounded assignment, and independently verifies the candidate they submit. Your team keeps a clear record of requirements, findings, decisions, and release evidence.
Your team retains authority over material scope and release.
Product model & evidence
IP retains planning, dependencies, versioned implementation personas, work coordination, approvals, and the delivery record. Approved coding resources perform repository implementation and corrective work.
IP resolves the submitted commit itself, checks ancestry and scope drift, and independently reviews and validates the candidate. Worker test results and “safe to merge” statements remain reported claims.
Interactive assignment rules are not a guaranteed sandbox. Organization controls govern execution eligibility and data egress; product verification evaluates the submitted result. People retain acceptance and release authority.
What it delivers
IncrementPilot is designed for product and engineering leaders who want AI to do meaningful delivery work while keeping the software process inspectable, bounded, and reviewable.
Move approved work into a bounded software candidate without losing the context and controls that make the change understandable.
Separate implementation from QA, integration, code, and security review so generated work cannot approve itself.
Keep candidate identity, test and review evidence, qualification state, and the human release decision connected.
How IncrementPilot supports those outcomes across the software change lifecycle.
Connect business outcomes, stories, acceptance criteria, architecture constraints, and delivery plans so implementation starts from governed context.
Work against actual repositories, branches, environments, codebases, and delivery rules rather than isolated code-generation prompts.
Separate implementation from code review, QA, integration, and security review so generated work cannot approve itself.
Use reviewer findings, validation evidence, and bounded corrective loops to improve a candidate without turning remediation into uncontrolled regeneration.
Bind the candidate, test evidence, reviewer verdicts, qualification results, and release decision to the exact software change being delivered.
Stop when scope, identity, evidence, policy, cost, or review requirements are not satisfied instead of pushing a low-confidence change forward.
How it works
IP defines the work and verifies the result. Approved coding resources handle repository implementation; IP retains planning, review, evidence, and delivery gates.
Resolve repository identity, product context, story intent, acceptance criteria, dependencies, policies, and execution boundaries.
An approved coding resource implements the assignment and submits an exact commit. IP retrieves and checks candidate identity, ancestry, and scope itself.
Check the diff and run separate code, QA, security, and integration review against the exact candidate.
Carry unresolved findings forward, make controlled corrections, and re-run real evaluation until the candidate passes or the bounded loop stops.
Require the right execution and application evidence before creating a governed pull request or handing the release decision back to people.
Specialists within the workflow
IP activates the appropriate product specialists for planning, coordination, review, and assurance. In R1, approved coding resources perform authoring and remediation; the retained Forge and Pixel definitions are historical.
Atlas, Petra, Nova, Sage, Orion, Iris
Approved coding resource
Veil, Rex, Shield, Integration
Approved coding resource, then independent reviewers
Drift, Gate
Control which reviewed skills and qualified tools the delivery team is allowed to use.
Connects support needs and production signals back into evidence and the next delivery cycle.
Stable identities make responsibility and separation of duties visible. Forge and Pixel are retained historical definitions, not active R1 authors.

Technical delivery orchestrator
Coordinates runtime execution, governed handoffs, evidence, and lifecycle gates for approved work.

Product ownership assistant
Supports business prioritization, scope, and acceptance recommendations while product authority remains human.

Business analyst
Turns business needs into clear stories, acceptance criteria, and questions that need resolution.

Planning and flow facilitator
Maintains sequencing, progress, dependencies, and blockers across the approved delivery plan.

Architecture specialist
Defines the technical shape and boundaries that keep a change coherent with the wider system.

UI design specialist
Shapes user-facing journeys and design intent before implementation turns them into an interface.
Frontend developer
Historical frontend authoring role. Built-in code generation is disabled in R1; approved coding resources implement the interface.

Backend developer
Historical backend authoring role. Built-in code generation is disabled in R1; approved coding resources implement services and data changes.

Story and acceptance QA
Tests intended behavior against the story and acceptance criteria before delivery can proceed.

Code reviewer
Challenges code quality, requirement alignment, and maintainability without reviewing its own work.

Security reviewer
Examines security, authorization, dependencies, and sensitive-data risks before promotion.

Integration test specialist
Verifies cross-component and system behavior beyond an isolated story or component.

Deployment specialist
Prepares controlled environments and deployment evidence for an approved release path.

Release-readiness gatekeeper
Assesses release evidence and readiness while consequential production authorization remains human.

Support specialist
Connects production signals, incidents, and support needs back to the delivery process.

Skill curator
Governs reusable delivery skills so learned practices are reviewed before they are reused.

Tool curator
Governs the tools agents may use so delivery remains within approved capabilities and policies.
Where it fits
Carry a well-defined product story from approved scope through implementation, review, remediation, and preparation of a governed pull request when evidence passes.
Change existing codebases while preserving repository boundaries, architecture constraints, tests, and release evidence.
Coordinate UI, API, data, configuration, and integration work where a change must remain coherent across multiple parts of the product.
Use AI inside a controlled software lifecycle with explicit identity, permissions, review independence, auditability, and human release authority.
Enterprise assurance
IncrementPilot is built around evidence-bound delivery. The same workflow that creates software also records why the work was allowed, what changed, what passed, what failed, and who still owns the release decision.
Deployment model
The delivery path is intended to integrate with existing engineering controls rather than replace them with an opaque autonomous runtime.
Bind work to exact repository and commit identities, preserve branch policy, and deliver through governed Git workflows.
Execute approved commands and validations inside bounded workspaces with explicit leases, tool policy, and evidence receipts.
Select approved harness/provider combinations explicitly. IP keeps its governed model calls; coding-resource reports do not become verified usage or outcome evidence.
Emporia · 5+1 product family
Choose the products your organization needs. Each is independently deployable above Agentic Foundation; connections between products are optional and preserve each product’s evidence and authority.
Plan approved work, coordinate coding resources, and independently verify each submitted software candidate.
Explore IncrementPilot MPSoftware modernizationTransform an existing system toward an explicit target, preserve required behavior, and independently assess the differences.
Explore Modernize Pilot CSEngineering investigationInvestigate incidents and defects with privileged server-side specialists, cited evidence, and explicit uncertainty.
Explore CauseSignal FTProduct intelligenceReconstruct a source-bound product record with provenance, contradictions, freshness, and qualified baselines.
Explore FoundryTrace TPIndependent testingConnect requirements, implementation, and risk to test design, controlled execution, and evidence-backed release advice.
Explore TestingTraceMandatory embedded infrastructure for production deployments: identity, scope, policy, governed execution, evidence receipts, and usage accountability. Products own the meaning and qualification of their results.
The shared architecture provides for federation, capability discovery, organization policy, entitlements, aggregate usage, audit, and STOP. Availability follows each deployment’s qualified capabilities.
Installing a companion product does not transfer its authority or automatically create a release gate. Additional cross-product requirements must come from explicit organization policy.
About Emporia IT →Enterprise briefing
Discuss repository boundaries, delivery controls, review policy, deployment architecture, and qualification approach.
info@emporiait.com