MORE DELIVERY CAPACITY. SAME BENCH.

Keep the margin. Move faster. Reduce delivery risk.

Lab0 is the AI forward-deployed engineering layer beneath your consulting practice. It runs repeatable implementation work under your brand, while your consultants retain architecture, judgment, approvals, and the client relationship.

Margin

Lower the delivery hours inside fixed-fee work and keep senior people on higher-value decisions.

Speed

Run discovery, configuration, integration, and testing in parallel instead of through handoffs.

Risk

Preview changes, retain evidence, and keep consultant approval before anything reaches production.

Partner delivery model partner-controlled

01Pursuit & discoverylab0.run

02Plan & configurelab0.run

03Integrate & migratelab0.run

04Test & go-livelab0.run

PARTNER OWNS

Client, scope, architecture, approvals

LAB0 RUNS

Repeatable volume work and evidence

6 months → 10 days

One Adobe AEM journey-QA engagement: estimated manual authoring effort versus Lab0 delivery window.

Specialist agents. One implementation record.

Each agent handles a bounded part of delivery. Together they share requirements, decisions, dependencies, configurations, test evidence, and status, so the project does not reset at every handoff.

01

Discovery Agent

Evidence → requirements

Reads RFPs, SOWs, documents, and stakeholder conversations. Drafts traceable requirements and surfaces gaps before build.

02

Artifact Agent

Program context → record

Keeps scope, decisions, owners, dependencies, configurations, and evidence connected across the engagement.

03

Planning Agent

Requirements → workplan

Turns accepted requirements into sequenced workstreams, dependencies, acceptance criteria, and implementation tasks.

04

Configuration Agent

Design → configured system

Builds workflows, rules, roles, mappings, and integrations against the client’s real environment for consultant review.

05

Testing Agent

System → evidence

Runs realistic scenarios, captures failures and fixes, and produces review-ready evidence before go-live.

06

Change Request Agent

Change → controlled delivery

Traces requested changes to scope, impact, dependencies, approvals, and the delivery plan without losing context.

SOURCE EVIDENCESHARED PROGRAM RECORDREVIEWED OUTPUTS

Use it where implementation work repeats.

Start with one live engagement. Lab0 can run an end-to-end rollout or a bounded workstream where schedule pressure, scarce expertise, or delivery risk is highest.

01

Fresh implementations

Run discovery, configuration, integration, testing, and readiness as one connected workflow for a new platform rollout.

Discover → configure → integrate → test

02

Migrations & upgrades

Profile the source system, convert data and custom logic, rehearse the move, and validate the target environment.

Profile → convert → rehearse → cut over

03

UAE e-invoicing

Connect mixed ERP estates to an ASP with field mapping, PINT AE transformation, validation, and controlled write-back.

ERP → Lab0 → ASP

04

Enterprise connectors

Build deep, two-way connectors against each customer’s real instance without pulling the product team off roadmap.

API → mapping → auth → write-back

05

Journey QA

Turn real screens and process documents into resilient automated coverage across complex customer journeys.

Understand → generate → run → repair

06

Managed change

Keep requirements, configurations, test evidence, open decisions, and status current after the initial go-live.

Request → assess → approve → release

Consultant approval stays in the loop.

Dry-run previews, traceable evidence, explicit acceptance criteria, and controlled promotion reduce the chance that speed creates a new delivery problem.

The implementation layer between platforms.

Lab0 works across the software clients already bought. It connects requirements and delivery across systems instead of requiring a proprietary platform or stopping at one vendor boundary.