Enterprise Readiness Assessment
We map every process that is a candidate for AI intervention, rank by impact versus cost, and deliver a prioritised roadmap with expected returns — before a single dollar is spent on build.
You don't bet on an AI promise.
You bet on evidence.
We embed a small senior team in your business, find where AI yields ROI, and build a working AI proof of concept in your own environment. You see the numbers before you commit to anything bigger.
Trusted by leading enterprises
From AI Experiment to Real Revenue. In 90 Days.
Our AI Solution
See AI working in your business in 8 weeks.
AI Without Delivery Is Theatre
Our team designs and builds the models, pipelines, and integrations inside your tech stack. Delivery is scoped in measurable phases — built-in ready means running in production, not a staged demo.
Continuous Performance
Every deployed solution is tracked against its original business case with dashboards, reports, and quarterly reviews. Performance shortfalls trigger immediate review cycles — we carry reputational risk.
Verified Outcomes
ManufacturingApparel Manufacturer
$2.69M in annual savings identified across three levers.
The proof ran for 30 days on the client's historical procurement data. The model identified three distinct savings opportunities that manual review had missed for four years running.
- $2.69M
- Annual value
- 30
- Days / Model
RetailUS Retail Marketplace · E-commerce
From experiment to revenue in 90 days.
A 7-person squad — engineering manager, product manager, four senior full-stack engineers, a designer — accountable to business outcomes over KPIs.
- 90
- Days to revenue
ManufacturingApparel Manufacturer
75+ day PO cycles, cut by 25%+.
POs from Walmart, Target and Amazon arrived as PDFs, spreadsheets and EDI files, keyed into SAP by a 30-person team. A GenAI pipeline now captures and extracts every order; humans review only flagged exceptions.
- 25%+
- Cycle-time reduction
- ≈100%
- First-pass extraction accuracy
ManufacturingLeading Global Apparel Brand
21,000 SKUs a year, from copy-paste to autopilot.
Tracking sheets, prepacks and UPCs were re-keyed by hand from a legacy PLM with no APIs. Buy files now convert on arrival, and batch SKU setup is validated before it ever reaches SAP.
- 21,000+
- SKUs per year, automated
- 4-6 hrs
- Manual work per buy file, eliminated
You don't have to believe in AI.
Built to prove itself, one phase at a time.
We don't ask you to commit to a transformation. We break it into three phases and each one has to earn its place before we move to the next.
Step 1
Proof
Embed, map the pains, scope one problem, define the success metric, build it in your environment, demo the result. You make the call.
Step 2
Build
Turn the proof into production software your team uses daily — governed, auditable, owned by you.
Step 3
Scale
Apply what worked to the next process. Same discipline, compounding return.
What we bring to your team in the era of AI
Outcome Architect
A business-first engineer embedded in your org.
- Maps your processes end-to-end
- Surfaces bottlenecks & decision points
- Empathizes with the users and their problems
- Owns the outcome, not just the delivery
AI-driven lifecycle
AI doesn't assist development, it drives it.
- AI-generated specs & test suites
- Agentic code review & QA loops
- Humans focus on architecture
- Audit-ready, by design