StackLift AI
Delivery Results

Real engineering. Measurable outcomes.

Each case study connects a real business problem to a scoped engineering solution — complete with story-point estimates, delivery timeline, and a concrete outcome that moved the business forward.

5–8 wks
avg. delivery
38–64
story pts per engagement
100%
senior-led builds
0
hallucinations shipped

Engagement Examples

Scoped, engineered, and shipped.

AI document workflow

RFP intelligence system

Scope

Document ingestion, requirement extraction, scoring, and response drafting.

Outcome

Moved proposal review from ad hoc reading to structured qualification.

Estimate

64 story points

Timeline

8 weeks

Legacy business system

ERP approval modernization

Scope

Role-based approvals, audit history, notifications, and reporting views.

Outcome

Converted an email-driven process into a trackable internal module.

Estimate

51 story points

Timeline

6 weeks

AI assistant

Customer support AI copilot

Scope

Knowledge search, suggested replies, escalation workflow, and admin feedback.

Outcome

Gave support teams a controlled AI workflow with human review and confidence scoring.

Estimate

47 story points

Timeline

6 weeks

Production hardening

AI-coded founder prototype rescue

Scope

Code audit, architecture cleanup, auth review, QA checklist, and deployment path.

Outcome

Converted a promising prototype into a release-ready engineering backlog.

Estimate

29 story points

Timeline

3 weeks

E-commerce workflow

Shopify operations automation

Scope

Order exceptions, customer notifications, and admin review workflow.

Outcome

Reduced manual order follow-up and created a repeatable operations queue.

Estimate

38 story points

Timeline

5 weeks

How we work

Every engagement connects scope to outcome.

These results aren't lucky — they're the product of a structured AI Software Factory: AI-powered scoping, senior engineering oversight, and delivery pipelines that don't let context fall through the cracks.

Structured scope before every build

Every engagement starts with story-point estimates, module scope, risk analysis, and delivery phases — agreed before a line of code is written.

Senior engineering, AI-accelerated

8 specialized AI agents accelerate the work. Senior engineers own architecture, security, and release decisions.

Documented, handed off, maintainable

Every delivery ends with technical docs, handoff materials, and a clean exit path — so you own what you paid for.

Your turn

Start your project scope in 60 seconds.

Submit your idea, backlog, or workflow requirement — get a structured scope, complexity estimate, and delivery roadmap before any budget is committed.

Case Studies | StackLift AI