lab0.aiLab0 × implementation partners
01 / 08

More rollouts.Same bench.

Lab0 is an AI forward-deployed engineer that runs the repeatable implementation work underneath your delivery team and your brand.

$ lab0 partner --mode co-delivery --brand yours

Source: lab0.ai/for-servicenow-partners

lab0.ai01 · The constraint
02 / 08

The backlog is bigger than the bench.

Demand is not the bottleneck. Experienced people are still carrying repetitive discovery, configuration, integration, and testing work by hand.

3–12 mo

Typical sale-to-go-live window

80%

Work repeated every deployment

4+

Teams in the handoff chain

40–50%

Delay sitting on the customer side

Source: lab0.ai homepage

lab0.ai02 · The operating insight
03 / 08

Implementation should scale like software.Not headcount.

The repeatable work should be encoded once, run across every rollout, and improve with each engagement. Senior people should stay on architecture, judgment, and the client relationship.

$ lab0 run --phases discovery,planning,build,test

Source: lab0.ai and lab0.ai/ai-fde

lab0.ai03 · What Lab0 runs
04 / 08

One agent workflow, discovery through test.

Lab0 sits alongside the systems your clients already use and turns the implementation sequence into a repeatable operating layer.

01

Discover

Gather context, run structured interviews, and map the process.

02

Plan

Turn requirements into a documented implementation plan.

03

Build

Configure the platform and wire the required integrations.

04

Test

Validate the workflow against the real environment and cases.

Source: lab0.ai/ai-fde and lab0.ai/how-lab0-works

lab0.ai04 · The partner model
05 / 08

Lab0 runs underneath. You stay in front.

The engagement, client relationship, and credit stay with the partner. Lab0 absorbs the repeatable volume work.

Dimension
Manual delivery
Delivery with Lab0
Throughput
One rollout per consultant, bounded by hours
Each consultant can oversee several rollouts
Senior time
Discovery, configuration, and testing
Architecture, judgment, and client work
Consistency
Varies by team and engagement
Best practices encoded across rollouts
Client brand
Your team, your name
Still your team, still your name

Source: lab0.ai/for-servicenow-partners

lab0.ai05 · Evidence from one engagement
06 / 08

Six months of journey test coverage, built in ten days.

For an Adobe AEM customer-journey engagement, Lab0 moved from discovery and solution design to generated Playwright coverage and review-ready outputs.

6 months

Estimated manual authoring effort

10 days

Lab0 delivery window

4

Automation suites delivered

Source: lab0.ai/case-study-adobe-aem

lab0.ai06 · Why this is a partnership layer
07 / 08

Product beneath the services motion.

Lab0 is designed to increase partner capacity without competing for the account relationship.

01

White-label

Runs inside your delivery motion, not in front of your client.

02

Multi-platform

Works across ServiceNow, SAP, Salesforce, Workday, Jira, and custom systems.

03

Full lifecycle

Covers discovery, planning, build, and test rather than one isolated task.

04

Compounding

Each rollout preserves decisions and patterns for the next one.

Source: lab0.ai, /ai-fde, and /for-servicenow-partners

lab0.ai07 · Start with one live engagement
08 / 08

Let the throughput change speak for itself.Partner with Lab0.

Bring one implementation where the backlog is bigger than the bench. Lab0 will run the repeatable work underneath your team and your brand.

$ lab0 partner --engagement live --team yours

Source: lab0.ai/for-servicenow-partners

Start a partner conversation