Every Binariks engagement runs on COMPASS by default
Talk to our team about how it applies to your project
Binariks AI COMPASS is a 7-phase framework for team coordination in the AI coding era. Built for organizations where velocity and accountability are non-negotiable. Your team delivers more – without trading speed for compliance. No new hires. No layoffs. Full traceability at every gate.
2-4x
Faster delivery
More output per sprint — AI agents execute in parallel, not in line
3x
More test coverage
Tests generated from acceptance criteria before a single line is written
100%
Human sign-off
Every spec, every PR, every deployment — human approval required
40%
Less rework
Requirements locked before AI writes anything — no late-stage realignment
New projects
Clean slate. COMPASS applied as AI-native SDLC from the first commit.
Teams that adopt it from day one see the full compounding effect across all seven phases.
Existing projects
Introduces without breaking – boosts some phases, improves others, enables the rest.
The answer to "what changes for us?" is: less than you think – and what does change gets better.
The slowest stage defines your speed. Select a phase to see the impact – and where AI makes the difference.
All phases flowing at normal speed
AI gates plug into your existing checkpoints - tickets, reviews, QA - enhanced, not replaced.
Scope & Acceptance Criteria - PM defines what 'done' looks like. No AI changes this.
Spec & Architecture Sign-off - Lead dev reviews every AI-generated spec before build starts.
QA Review & Test Approval - QA engineer validates AI test results before sign-off.
Merge & Deploy Decision - Humans approve every PR. CI/CD pipelines are enhanced, never restructured.
Requirement, spec, and code generation within a human-approved scope
Codebase research and planning across large volumes of data
Test case generation from acceptance criteria
Pre-merge review and deployment pipeline support
As regulations tighten, AI shouldn’t guess compliance - it should work within it. COMPASS injects regulatory logic directly into requirements, so compliance considerations are built in before a single line of code is written.
Combined with 3x more test coverage and strict human sign-off at every gate, you get speed without losing control.
Most AI tools boost individual developers. COMPASS works across your entire delivery team - BA, devs, QA, DevOps - as one coordinated, AI-augmented unit.
| Stages | CClarify | OObserve | MModel | PPartition | AArrange | SSynthesize | SShip | LLearn |
|---|---|---|---|---|---|---|---|---|
Role/Artifact | FRD-Feature Request | FRD-Feature Spec | PRD/SRS-Arch Design | User Stories | Impl Plan - Test Scenarios | Code/Test Scripts | Release Notes | Retrospective |
PO/BA/PM | PO/BA/PM | PO/BA/PM | PO/BA/PM | PO/BA/PM | PO/BA/PM | |||
Devs/TL | Devs/TL | Devs/TL | Devs/TL | Devs/TL | Devs/TL | Devs/TL | ||
QA/AQA | QA/AQA | QA/AQA | QA/AQA | QA/AQA | QA/AQA | QA/AQA | ||
DevOps | DevOps | DevOps | DevOps | |||||
Problem statement/ Stakeholders goals | Research/ Feasibility analysis | System Design/ Quality Plan/ Risk registry | Work breakdown/ Dependency map | Task acceptance criteria/ Implementation notes | Tested Code/ Test coverage Reports | Deployment Notes | Insights/Lessons learned |
Each phase produces a specific artifact. Each artifact is the input to the next phase. Nothing moves without a human decision at the gate.
The team locks the problem statement and success criteria before anyone writes a line. AI assists. Humans decide.
What you get:
No mid-sprint surprises when the team realises they misunderstood the goal.
AI agents scan the codebase, market, and documentation at speed. The result is a full picture of constraints and risks – before any decisions are made.
What you get:
Realistic estimates. Hidden risks surfaced before they become blockers.
Architecture and key technical decisions are defined, reviewed, and signed off by a senior engineer. No architectural decision proceeds without human approval.
What you get:
You own an architecture document. No black-box decisions buried in commit history.
Work is broken into user stories and tasks with clear boundaries. Each task has defined acceptance criteria before AI touches the code.
What you get:
Clear task ownership with traceable acceptance criteria for every story.
AI agents implement within reviewed boundaries. Implementation plans and test scenarios are locked before a single line is generated.
What you get:
Consistent, predictable delivery — AI executes within a human-approved spec.
Code and tests are generated, reviewed, and merged. Every PR has test coverage and human sign-off before it reaches staging.
What you get:
3x more test coverage. Zero untested merges reaching production.
Deployment proceeds only after release notes are approved and a designated human gives the green light.
What you get:
Full deployment traceability. Every release decision is documented and owned.
Talk to our team about how it applies to your project
Let's Start Your Project
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What happens next?
Our expert will reach out to understand your goals and challenges
If needed, we'll sign an NDA to ensure full confidentiality
You'll receive a tailored roadmap with solution suggestions, timelines, and budget estimates