AI Delivery Sprint
For B2B SaaS product teams that need one high-priority roadmap objective shipped in the next 2 weeks.
- AI-assisted implementation team
- Weekly decision-ready progress updates
- Release checklist and handover included
Lightheart Tech
Ship the next roadmap milestone without adding delivery risk.
Lightheart works with B2B SaaS founders and product leaders who need one priority shipped fast or a launch-ready MVP delivered with senior engineering oversight.
Speed from AI. Accountability from senior engineers.
2-week sprint option
Use AI Delivery Sprint to ship one roadmap priority fast.
Senior-led decisions
Scope, architecture, and release tradeoffs stay in experienced hands.
Handover included
You receive documentation, release context, and clean ownership transfer.
Selected product teams and founders bring Lightheart in when they need speed without dropping the engineering bar.
Services
Choose the delivery model that matches the problem.
One service is built for live products under roadmap pressure. The other is built for teams moving from scoped concept to launch-ready MVP.
MVP Launch Package
For founders moving from validated concept to a production-ready MVP with clear milestones and launch support.
- Functional MVP with onboarding flow
- Database and API integrations
- Launch stabilization, documentation, and handover
What Delivery Looks Like
What a Lightheart engagement is designed to produce
Prospects usually want to know what changes after kickoff. These are the concrete outputs the model is built around.
Before build
Scope is narrowed to one outcome
We start by defining the business result, acceptance boundaries, and delivery risks so the sprint does not drift.
You know what will be shipped, what will wait, and what could block release.
During delivery
You get decision-ready weekly visibility
Progress updates focus on shipped work, open risks, and the next approval or tradeoff needed from your side.
No opaque agency status reports or surprise scope creep.
Before handover
Release and documentation are part of delivery
We treat test coverage, release checks, and internal handover as deliverables, not afterthoughts.
Your team can own the result without reverse-engineering what changed.
Quality Focus
What keeps speed from turning into rework
AI improves throughput, but the operating model matters. We use senior review, explicit quality gates, and release discipline so faster delivery does not become expensive cleanup later.
See the operating model- ✓Senior-reviewed pull requests and architectural sign-off
- ✓AI-generated code validated by explicit quality gates
- ✓Security and reliability checks integrated into CI
- ✓Clear documentation for sustainable long-term ownership
Best-fit teams
Who we help most
We are most effective for B2B SaaS teams that need faster shipping with lower delivery risk.
B2B SaaS teams with active users
When roadmap commitments are high and engineering bandwidth is the constraint.
Founders launching a first product
When a validated concept needs to become a usable MVP fast, without cutting engineering corners.
Leader Endorsement
"Lightheart helped us unblock a critical roadmap bottleneck in a single sprint."
The team combined execution speed with senior technical ownership, so we delivered faster while improving release quality and decision confidence.
Team-Led Delivery
Lightheart is led by a Product Lead, AI Tech Lead, and Cloud Architect.
Delivery is not tied to a single founder profile. Instead, product leadership, senior technical oversight, and platform architecture move together from the first conversation through release and handover.
- ✓Commercial conversations stay connected to delivery reality across product, engineering, and infrastructure.
- ✓Release decisions are reviewed with product risk, codebase impact, and platform operations in mind.
- ✓Momentum stays with the team rather than being routed through a single bottleneck.
Team Competencies
Selected delivery examples mapped to the team
Representative success cases tied to the capabilities Lightheart brings into engagements across product leadership, technical delivery, and cloud architecture.
Product Lead
Scope, prioritization, and launch decision-making
Used when a product needs clear boundaries, stakeholder alignment, and execution planning before build speed matters.
- Built and maintained Klarna's Shopify integration.
- Delivered the Staples 3D Print Store and the supporting work needed to launch the service.
- Built a conversational commerce solution for bol.com around customer interaction and conversion flows.
- Defined scope and acceptance for New York Pizza’s ordering redesign.
AI Tech Lead
Hands-on delivery leadership across implementation and release
Used when shipping pace needs senior engineering direction, review discipline, and practical tradeoff management.
- Built Eyecons user insights and behavior tracking.
- Directed AI-assisted implementation for international mobile medical unit software.
- Delivered AI-driven insights in footfall traffic analysis and physical-store conversion using computer vision and AI.
Cloud Architect
Platform, data, and reliability architecture
Used when delivery depends on infrastructure choices, integrations, data pipelines, or operational resilience.
- Created an ETL pipeline for high-volume enterprise data processing and validation at Inter IKEA.
- Created the architecture for the Eyecons Kubernetes platform and microservices.
These examples reflect team-level capabilities brought into current Lightheart engagements.
Customer Brands
Teams we have supported
Selected brands from projects where we supported delivery, engineering, and platform execution.
Common Questions
What prospects usually want to know first
These are the questions we hear most often before a first call or scope discussion.
Do you replace an internal team?
No. Lightheart works best as focused delivery capacity with senior oversight around one priority, an MVP track, or a constrained release milestone.
What happens on the roadmap call?
We look at the delivery problem, the current constraints, and whether the sprint or MVP package is a fit. If it is not a fit, that is made explicit early.
Can you work inside our existing stack and process?
Yes. The model assumes you already have product context, tools, and release constraints that delivery needs to respect.
What do we get at the end?
Shipped scope, release context, and documentation that allows your internal team to maintain momentum after handover.
Start your next release cycle
Need a delivery recommendation before you commit to a call?
Send a short outline of the roadmap pressure you are dealing with. We will point you toward the sprint, the MVP package, or tell you if neither is the right fit.