Your AI writes code in seconds. Your senior engineers spend hours fixing it.
Standard AI coding assistants act like junior developers: they lose context, break tests, and generate spaghetti code. This manual review cycle is the context debt tax — a bottleneck that destroys the ROI of AI development.
AI DRAFT
BROKEN TESTS
BottleneckSenior Engineer
DEBUGGING REGRESSIONS
MERGE CONFLICTS
SPAGHETTI CODE
Natively Integrated
VERSION CONTROLISSUE TRACKINGCI/CD PIPELINESCLOUD AGENTSCURSORENTERPRISE AI ORCHESTRATION
How It Works
The Spec-Driven Delivery Loop
Six steps. The spec is the law, recorded in Git and pull-request history.
01
PersonSpec
A person writes or approves the ticket and its acceptance criteria.
02
AgentTests first
The agent writes failing tests from those criteria.
03
Cloud agentAgent run
A cloud agent makes the tests pass and commits the work to a draft pull request.
04
Agent + CodeRabbitAutomated checks
The agent reruns the tests, and a CodeRabbit review runs on the final version. Open findings are recorded on the PR.
05
QA agentQA
A QA agent checks the change and its preview, then marks it ready.
06
PersonHuman approval
A person reviews and approves every merge.
Engine
A·CORE
Step 01 / 06
01
PersonSpec
A person writes or approves the ticket and its acceptance criteria.
02
Agent
Tests first
The agent writes failing tests from those criteria.
03
Cloud agent
Agent run
A cloud agent makes the tests pass and commits the work to a draft pull request.
04
Agent + CodeRabbitAutomated checks
The agent reruns the tests, and a CodeRabbit review runs on the final version. Open findings are recorded on the PR.
05
QA agent
QA
A QA agent checks the change and its preview, then marks it ready.
We eliminate context debt. Multi-agent orchestration replaces spaghetti code and infinite debugging loops with a deterministic, test-driven assembly line.
Zero Context Debt01
01 →
Specs drive the code, not the other way round.
src · SRC · Strict TDD harness
Parallel subagents02
02 →
Independent tasks run in waves; cloud dispatch runs on our own projects and is not part of the harness (releasing the harness publicly is under consideration).
src · SRC · Task waves
Groomed local queue03
03 →
/triage and /dispatch keep a ranked work queue in docs/; every completion claim needs a fresh test run.
src · SRC · Work-item queue
Methodology · Hard-dollar, not hours saved
We don't publish ROI figures yet. For each engagement, the baseline and how ROI will be measured are agreed in the Discovery Workshop.
Four domains where execution with human approval at defined steps compounds into measurable outcome change — deployed inside the systems your operators already run.
04 domains · 16+ systemsDOM.01 — DOM.04
DOM.01Supply Chain
For COO · VP Operations
Self-Healing Logistics Networks
Agents continuously re-plan inventory, sourcing, and routing against live demand, supplier, and disruption signals — closing the loop without ticket queues.
Runs inside ·SAP IBPOracle SCMManhattan WMSEDI / API
↓ 30–40%
Stockouts
↓ 20%
Logistics cost
Before → After
Weekly S&OP cycle, manual expedites
Continuous re-plan, routing with human approval at defined steps
DOM.02Finance & ERP
For CFO · Controller
Intelligent Operations
Continuous close, perpetual reconciliation, and policy-bounded execution across your financial stack — Agents open draft pull requests. A person approves every merge. Every variance is traced.
Runs inside ·SAP S/4Oracle FusionBlackLineWorkday
T+1
Close cadence
100%
Auto-recon
Before → After
Period-end sprints, swivel-chair tie-outs
Continuous close, with evidence from Git history to support your own FINMA review.
DOM.03Sales & CRM
For CRO · RevOps
Revenue Orchestration
Agents own pipeline hygiene, opportunity routing, and follow-through across the funnel — so AEs stay in front of customers, not their CRM.
Runs inside ·SalesforceHubSpotGongOutreach
100%
AE selling time
↓ 60%
CRM admin
Before → After
Reps as data-entry clerks
Reps as closers; CRM kept by agents
DOM.04GRC
For CISO · Chief Risk Officer
Continuous Assurance
Policy checks and evidence collection happen inside the workflow, not after it. Audit trail in Git: Agents open draft pull requests. A person approves every merge.
Runs inside ·OneTrustServiceNow GRCSplunkOPA
1
Reviewed PR per change
0
Audit-sprint days
Before → After
Quarterly audit fire-drills
Evidence in Git history, updated with each merge
01/04Scroll to advance · Agents open draft pull requests. A person approves every merge.
The Infrastructure
The Infrastructure Event-Driven
The orchestrator acts as an asynchronous PM and QA lead, reacting to version control webhooks 24/7.
Runs on
EVENT-DRIVEN
AUDIT
Event-Driven
The orchestrator acts as a relentless, asynchronous PM and QA lead, reacting to version control webhooks 24/7.
OWASP ASI 2026 · Full Mapping
10 / 10 risks → product features
A Phased Rollout
No pilot purgatory. A measurable milestone every phase.
Autonomy expands as risk contracts. Each phase ships a deterministic milestone and a traceable KPI — never a vague pilot extension. Timing is agreed per engagement.
Phase 01
Discovery
0%
Write surface
Read-Only Observation
Read-Only Observation
We deploy the orchestrator in read-only mode against your repository. It analyzes test coverage, flags spec deviations, and builds a technical debt ledger.
ScopeObserve · AnalyzeRead-only access
Agent autonomy18%
Residual risk92%
Human-in-the-loop
100% human execution
Phase exit milestone
→ Baseline Context Debt quantified
Phase 02
Pilot
100%
test-first by design
Supervised Execution
Supervised Execution
Your engineers run our TDD orchestrator locally. The agent drafts Red/Green/Refactor loops on priority issues, test-first by design.
ScopeRed · Green · RefactorLocal, engineer-supervised
Agent autonomy58%
Residual risk42%
Human-in-the-loop
100% review · 1-click approval
Phase exit milestone
→ First AI-shipped features pass CI/CD
Phase 03
Rollout
PR
Human approval
Bounded Autonomy
Bounded Autonomy
Low-risk, well-specified work items run without someone at the keyboard, each on its own branch, and come back as pull requests for review. We run this lane on our own projects, and it is not part of the harness (releasing the harness publicly is under consideration).
ScopeSpec · Tests first · Agent run · Automated checks · QA · Human approvalSpec-bound execution
Agent autonomy92%
Residual risk12%
Human-in-the-loop
At every merge
Phase exit milestone
→ Full elastic scale realized in steady state
Every phase is reversible. Turning off the automated lane takes you back to Phase 01, and merges stay with your team throughout.
Contract · Outcomes-based · No pilot fees
Start With Discovery
Identify your first agentic pipeline today.
A phased rollout, with timing agreed per engagement. Test-driven engineering. A measured baseline before you scale — not after.
Looking to automate legacy systems of record? While our core focus is AI software engineering, we also deploy agentic workflows across traditional enterprise environments. Explore integrations for enterprise legacy tools.