For companies that build their own software
Production-grade AI transformation
AI inside the software you already ship, measured against your own Jira and Git history.
Funded startup? See our venture partnership
Clients include
Where it stalls
You have AI. You don't have proof.
Most teams have already tried the sensible fixes. Each one changed something. None of them changed what reaches production.
You bought seats.
Every engineer has an assistant. Individuals got quicker. Releases got no steadier.
7.2%estimated drop in delivery stability for every 25% rise in AI adoption. DORA, 2024
You ran a proof of concept.
It won the demo. Then it met your auth, your data and your change board, and it never left the sandbox.
5%of custom enterprise AI tools reach production. MIT NANDA, 2025
You wrote an AI policy.
It lives on a wiki page. Nothing checks generated code against it before merge, so it is guidance, not a control.
90%+of companies have workers using personal AI tools. Only 40% bought an official subscription. MIT NANDA, 2025
You added headcount.
More people meant more handoffs and longer review queues. Output per engineer fell as the team grew.
You can't show where the week goes.
Leadership sees missed dates. Engineering sees full calendars. Nobody has a baseline to settle it.
It was never a tooling gap or a talent gap. Nothing connects the AI your team uses to what actually ships, or keeps the evidence that it did. Enspirit Delivery OS does both.
Show us where it stallsEnspirit Delivery OS
Accelerate
production delivery.
Measured in days.Not promised in quarters.
16.0
Days to ship, down from 33.1
Measured from one client's own Jira and Git history over a 13-month window. Full methodology on the Enspirit Delivery OS page.
What lands in your repository
- rules12Always on, enforced before a commit exists
- skills40Invoked by your team, where they already work
- checks8Flag, never decide
- decision recordsWritten for anything structural
- baseline queryThe query behind every number we report
You keep all of it, whether or not you continue.
How it works
Four weeks to a number you can check.
Week 1
We choose the workstream your roadmap is waiting on and measure its cycle time from your own Jira and Git history.
Weeks 2 and 3
Rules, skills, and checks go into your repository, with a weekly working session.
Week 4
We report against your baseline and show you the query we used.
Then
More workstreams, or an embedded team on a monthly fee.
Week 4 checkpoint
If your cycle time does not move, you do not pay for the first four weeks.
What we do
AI in how your software is designed, built, and shipped.
No rewrite, no platform to migrate to. Five services in three layers.
Layer 01TeamYour team learns to work AI-native.
Advisory
We pair on real code and leave your engineers shipping faster.
Layer 02ProductAI inside your workflows, and products built around it.
AI Integration
AI where it moves the number, and we stay until the KPI moves.
AI Product Development
Products where AI is the product, not a demo tab.
Layer 03BuildDesign and engineering that ship production software.
Product Design
Decision architecture for multi-role, high-stakes workflows.
Engineering
Production software from day one: full-stack, mobile, API, infrastructure.
Selected work
Work that stayed in production.
See allBooking time 425s to 127s at Deem · NPS 19 to 54 · $3M raised after launch at Gritwell
Travel
Deem
Rebuilt the enterprise booking experience. Booking time dropped from 425 seconds to 127. NPS moved from 19 to 54. WCAG AA+. 22 industry awards.
425 to 127s
Booking time
19 to 54
NPS
7 yrs
Partnership
Healthcare
Gritwell
Zero to MVP in four months. Website, back-office portal, and client portal across web, mobile, and PWA. $3M raised, preparing for Series A.
4 mo
To MVP
$3M
Raised
3+ yrs
Partnership
Sports Tech
Nike Equipment Builder
Custom gear configuration for NFL and MLB athletes and Nike designers. Design-to-factory pipeline with millimeter-precision specs. Web, mobile, PWA.
4+ yrs
Partnership
MLB + NFL
Leagues served
B2B & SaaS
Innovative IDM
Unified B2B platform for 10 million industrial products from 10 manufacturers. Custom ERP, customer portal, and PWA for field operations.
10M+
Products
100
Categories
Testimonials
What our clients say.
We're very happy with what we've seen so far. It's not just a vendor-client relationship; it's much more a partnership. Enspirit took the time with their business analysts to dive in and learn our business.
They are creative with their solutions and look at it from multiple angles. The end solution was amazing. And along the way, the communication lines were always open.
The Enspirit team demonstrated a deep understanding of our specific challenges and tailored the solution to address our pain points effectively.
Enspirit surprised us with incredible design skills. They really know what they're doing in terms of developing a user-focused design, that is simultaneously considerate of development efficiencies.
They were able to quickly deploy an MVP and incorporate consumer feedback on design and functionality quickly. Their flexibility in reallocating appropriate personnel to meet deadlines was impressive.
We've worked with other service providers, and Enspirit stands out because they support and listen to us. At the end of the day, they do whatever it takes to deliver.
The team's responsiveness, willingness to adapt as things evolved, and follow-through to get us to a strong end result were the most valuable parts of the process.
The screens look fantastic, and everything is so well organized. The flows are smooth and amazing job with the annotations. It's exciting to see our idea taking shape!
I appreciate their approach that the client comes first, and they are always ready to tackle and fix any issues or concerns.
Enspirit did a great job building a very comprehensive website for us. They also excelled at design. They were excellent at project management and very communicative.
Industries
Deep in these industries.
TravelAI workflows, GDS, enterprise booking UX
HealthcareAI tools, HIPAA platforms, patient experiences
Sports TechCustom equipment platforms, design-to-production
E‑Commerce & Retail10M+ SKUs, pricing engines, AI merchandising
Music & EntertainmentRights management, royalty systems, creator tools
B2B & SaaSAI products, workflow platforms, enterprise tools
For private equity
What a sponsor gets.
For sponsors, the first step is a short, fixed-scope audit of a portfolio company. It produces a prioritized plan with tradeoffs, enough to decide whether a larger engagement is worth funding.
How we work with sponsorsStart with an audit.
One company, fixed scope, and a plan you can fund or decline.
Report in the board's terms.
Cycle time, throughput, and what changed since the baseline, in numbers an operating partner can read.
Keep it after we leave.
The governance layer lives in each company's repository.
Why Enspirit
What you can hold us to.
| The usual way | With Enspirit | |
|---|---|---|
| Proof | Industry benchmarks and a slide of projected gains. | Your own delivery history, baselined in week one. |
| Team | Designers hand off to engineers, and intent gets lost in between. | One team designs the system and ships it. No handoff tax. |
| AI | AI in the pitch, the old process in the work. | AI across design, development, and QA, in how we build every day. |
| Start | A long contract before you see anything move. | Four weeks, fixed scope, then you decide. |
Security and IP
The questions procurement asks first.
Never used for training.
We do not use your codebase, release data, or design files to train, fine-tune, or improve any AI model. Not ours, not anyone else's. It is a firm policy, not a tier. Read the commitment.
Your stack, not ours.
We work inside your repository, your CI pipeline, and your deployment process rather than asking you to move to ours. Access is yours to grant and yours to revoke.
A human decides what ships.
AI-assisted work is reviewed before it merges, and the audit trail is a by-product of the work rather than something written up afterwards. See how that runs.
IP settled in writing.
What you bring stays yours, and under our standard services agreement, everything we build for you is yours too. It is in writing, not buried in our terms. Read the terms.
Our products
What we build for ourselves.
We take release quality and design governance seriously enough to build products around them. Standalone tools, not services upsells. They are evidence of how we think.
Release confidence
AURA
AURA is our AI-orchestrated Release Confidence platform for engineering and QA teams who need objective signals, not just test results.
Early Access
AI summary
Ask AI for a summary of Enspirit.
Opens in a new tab.
Questions
Common questions about enterprise AI transformation.
Making the software you already ship AI-native, without a rewrite. We install governed AI delivery in your repository, build AI into the workflows that cost your business the most, and train your team to run both. Progress is measured against your own delivery baseline.
We build. The same team designs the system and ships it, inside your repository, your standups, and your CI. What you get is running software and a documented decision trail, not a deck.
No. We work in your existing codebase and connect to the tools you already use. For older platforms, the same work runs as a structured modernization engagement, so the product keeps running for your customers while it changes.
Assistants help individual engineers write code faster. The slow part of team delivery is review, handoffs, and knowing what is safe to merge, and an assistant changes none of that. Enspirit Delivery OS installs rules, skills, and checks in your repository so the whole team ships differently, and the result shows up in cycle time.
In week one we baseline your cycle time and resolution ratio from your own Jira and Git history, then report against that baseline. On one corporate travel platform, median cycle time went from 33.1 days to 16.0, measured from the client's own Jira and Git history.
Week one is the baseline: we choose a workstream with you and measure its cycle time from your own Jira and Git history. In weeks two and three we install rules, skills, and checks in your repository, with a weekly working session. In week four we report against the baseline and show you the query we used. The scope and fee are fixed, and if your cycle time does not move, you do not pay for those four weeks.
Embedded teams are long-running partnerships, from 3 to 12 months and beyond. Project builds have fixed scope and milestones, typically 8 to 20 weeks. Venture partnerships co-build with founders on aligned terms. Advisory runs 1 to 4 weeks. If you want proof before a larger commitment, the first four weeks of Enspirit Delivery OS run on one workstream.
It depends on the shape of the work. Embedded teams are a monthly fee that grows or shrinks with your roadmap. Project builds are fixed scope and milestones. Advisory is a fixed fee. We price after a first conversation, once the scope is clear. The first four weeks of Enspirit Delivery OS are a fixed fee, and if your cycle time does not move, you do not pay for them.
Usually within weeks. The first week of every engagement is scoping and baselining, so the plan and the numbers are set before the build begins.
You do. What you bring stays yours, and our standard services agreement gives you ownership of everything we build for you. The work happens inside your repository, your CI pipeline, and your cloud, so nothing sits in an Enspirit system that has to be handed back. Your code is never used to train AI models.
For sponsors, the first step is a short, fixed-scope audit of a portfolio company. It produces a prioritized plan with tradeoffs, which is enough to decide whether a larger engagement is worth funding.