CRNOGOCHI GT — AI DEVELOPMENT GOVERNANCE

AI speed.
Human control.

Crnogochi GT is the governance layer for AI‑accelerated development. Specialized agents run every phase of your SDLC — your methodology enforced, your experts in the loop, every artifact traced from requirement to release.

PROVEN METHODOLOGY × AGENT ORCHESTRATION × EXPERT DEVELOPERS
REQUIREMENTS DESIGN DEVELOPMENT TESTING DEPLOYMENT
SCROLL
01 — THE PROBLEM

Agents ship 10× faster. Governance didn't keep up.

NO TRACEABILITY

Code lands without lineage. Nobody can say which requirement justified a change — or whether one did.

NO METHODOLOGY

Agents improvise past the process your delivery depends on. Stages, reviews, and gates get skipped silently.

NO AUDIT TRAIL

When the auditor asks who approved what, the answer is a chat log that nobody can replay.

You don't need slower agents. You need a pipeline that governs them.

02 — HOW IT WORKS

The governed pipeline

Five stages in two phases. Each stage has its agent, its skills, its artifacts — and a gate no agent can pass without a human.

DISCOVERY PHASE
STAGE 01 DISCOVERY

Requirements

From raw stakeholder input to signed-off business and functional requirements.

discovery-assistant
SKILLS
Stakeholder intake · Gap analysis · BFRD drafting
PRODUCES
BFRD Functional spec UI prototypes
GATE Requirements sign-off — human approval required
BUILD PHASE
STAGE 02 BUILD

Design

Requirements become architecture, a tech spec, and stories your team can estimate.

design-assistant
SKILLS
Component architecture · Story decomposition · Test-case design
PRODUCES
Tech spec Tech stack User stories
GATE Tech spec approved by your tech lead
STAGE 03 BUILD

Development

Stories become pull requests — each one linked to the story and spec that justified it.

dev-assistant
SKILLS
Repo & CI setup · Implementation · PR preparation
PRODUCES
Code repo Pull requests Test executions
GATE Every PR reviewed and merged by your developers
STAGE 04 BUILD

Testing

Test cases generated from the spec, executed against every merge, signed off by QA.

test-assistant
SKILLS
Test-case generation · Plan execution · Regression packs
PRODUCES
Test cases Executions QA sign-off
GATE QA sign-off recorded against the release
STAGE 05 BUILD

Deployment

Staging, UAT, production — provisioned and released with smoke tests at every step.

deploy-assistant
SKILLS
Provisioning · Release management · Post-launch monitoring
PRODUCES
Smoke tests Release Monitoring
GATE UAT sign-off before production — no exceptions
03 — THE PRODUCT

Manage it like a delivery, not a demo.

Three views your delivery leads will live in.

crnogochi · lifecycle Developer mode
Crnogochi.
DISCOVERY PHASE
1 Requirements 67%
BUILD PHASE
2 Design
3 Development
4 Testing
5 Deployment
67% Requirements 2/3 milestones · 0 blocked · 1 in progress discovery-assistant
R3UI prototypes Owner Bojan Tešić · Due Apr 14 Done
R2Business and Functional requirements Owner Ana Lazović · Due Apr 11 · 25 confirmed Done
R5High-level design Owner Bojan Tešić · Due Apr 29 In progress

The lifecycle workspace

01 Every milestone, live Progress, ownership, and blockers per stage — updated as agents work, not in a report afterwards.
02 Status you can act on Blocked states surface the moment they happen, with the artifact and dependency that caused them.
03 One workspace per phase Requirements through deployment in the same view — owners, due dates, and gates your team already runs.
crnogochi · document map Crnogochi GT
BFRD v1.0
Business reqs
SPEC v0.9
Tech spec
ST-204
User story
PR #214
Merged Apr 28
QA-SIGNOFF
12/12 passed
REL 1.4
Release
PROTO v2
UI prototypes
FSPEC v1.1
Functional spec
TC-31…44
Test cases
MON-01
Monitoring
critical path dependency

The document map

01 Lineage as a first-class object BFRD → tech spec → stories → PRs → QA sign-off → release. Every edge in the graph is recorded, versioned, and typed.
02 The critical path, visible The orange path shows exactly which artifacts gate the release — and where it stalls when one slips.
03 Audit answers in one click Trace every release back to the requirement that justified it. Forwards or backwards, the chain holds.
crnogochi · ai chat discovery-assistant
How many gaps do we have on R2? BT
AI We have 4 open gaps — 3 high severity (SLA, conflict handling, authority chain) and 1 medium (dropped requirements policy).
AI Drafted BFRD v1.1 with the SLA gap resolved. The change touches FR-09 and FR-17 — ready for your review. Review diff Approve Redirect
Ask the discovery assistant… ↑

Direct line to the agents

01 Steer, don't read reports Review, approve, or redirect agents per milestone — in the loop while work happens, not after the fact.
02 Answers with provenance Ask about gaps, decisions, or status. Answers cite the artifacts behind them — not a model's best guess.
03 Sign-off where work happens Approvals land on the artifact and into the audit trail — not in a thread someone has to find later.
04 — DISCOVERY

Discovery is not a meeting. It's a governed workflow.

Feed the platform raw stakeholder input. The discovery assistant structures it, finds the gaps, drives them to resolution, and produces combined business and functional requirements — signed off in the platform, versioned from day one.

01
Raw input
transcripts · decks · tickets
→
02
Structured intake
goals · actors · constraints
→
03
Gap analysis
4 open · 3 high severity
→
04
Business reqs
BR-01 … BR-14
→
05
Functional reqs
FR-01 … FR-25
→
06
Sign-off
BFRD v1.0 · 25 confirmed

Every gap has an owner and a severity. Every resolution is recorded with who decided and why. By the time the build phase starts, "what are we building" has one answer — and a version number.

05 — ARCHITECTURE

Built on the Anthropic Agent SDK.
Remembered in the knowledge base.

L1 Anthropic Agent SDK Agent runtime, tool use, and orchestration primitives.
L2 Claude Code / Cowork plugin Where the agents do the work — in your repos and tools.
L3 Curated skills & agents One specialist per SDLC phase — discovery, design, stories, code, QA, provisioning.
L4 Governance UI Where managers track, steer, and approve — the views above.
L5 Knowledge base RAG Every artifact and decision from every agent — retained, versioned, queryable.
L6 Cross-project intelligence What was decided, why, by whom, and how it connects — compounding across projects.

Nothing evaporates.

Most AI development leaves its reasoning in closed chat sessions. Crnogochi GT captures it: every requirement, decision, review, and sign-off lands in the knowledge base as it happens.

Ask why a constraint exists and get the stakeholder session it came from. Start project two with everything project one learned. The system gets more valuable with every delivery it governs.

RETAINED · QUERYABLE · COMPOUNDING
06 — WHY IT WORKS

Speed alone is a commodity.

Governed speed is the product. It's a multiplication, not a sum — remove any factor and the result collapses.

PROVEN METHODOLOGY

A real SDLC with stages, artifacts, and gates — the discipline your best deliveries already follow, encoded so agents can't skip it.

AGENT ORCHESTRATION

Specialized agents per phase, handing artifacts to each other under the methodology — not one model improvising end to end.

EXPERT DEVELOPERS

Humans hold every gate. Review, steer, approve — the judgment stays with your experts, applied exactly where it matters.

07 — ENTERPRISE TRUST
Audit trail

Every action — agent or human — recorded with who, what, when.

Artifact lineage

Sign-offs and versions attached to artifacts, not chat threads.

Role-based control

Approval authority maps to your org chart, not to whoever holds the API key.

Your infrastructure

Runs where your code lives. Your repos, your data, your perimeter.

NO SLIDES — A LIVE PIPELINE

See your next release governed end to end.

Thirty minutes. Your delivery process, mapped onto the pipeline, running live.

Book a demo Download the architecture brief
Crnogochi. AI SPEED OF DEVELOPMENT — WITH CONTROL
© 2026 BILD STUDIO
✓

Request received.

We'll be in touch within one business day to map your delivery process onto the pipeline and schedule the live walkthrough.
BOOK A DEMO

See your pipeline governed end to end.

Thirty minutes, your delivery process, running live. Tell us where to start.

{{ demoError }}

We'll only use this to schedule your demo. No marketing list.