Focused builds for
smaller businesses.
Small and mid-size businesses don't need a platform transformation — they need one working system in weeks, on a stack they can operate and afford. We deliver that as focused client engagements, AI only where it earns its place — often not AI at all.
— Internal beta. Client work below is anonymized. Ankush to refine.
One problem, one working system.
We scope a single business problem, build it on a lean stack you own, and keep the logic inspectable — not a black box. Delivery in weeks, not quarters.
Scope one problem
A single sharp outcome — order-to-cash, verification, collections — not a multi-department rollout.
Lean, owned stack
Standard web frameworks and a rules engine where deterministic logic beats a model. You own and can read every part.
AI only where it earns it
Many MSME builds are deliberately non-AI. Where AI helps, it sits behind clear rules — never a guess on a decision that matters.
Anonymized client projects.
Real engagements, client identities removed. A deliberate mix of non-AI and lightly-AI builds.
Order-to-cash platform for a B2B trading house
A B2B building-materials trading house needed quotations, a credit gate, and sales-order-to-collection tracking — without a heavy ERP. We built a focused order-to-cash app: a deterministic business-rules engine (credit checks, quotation-to-SO, inter-company transfer, dispatch), Next.js + FastAPI. No AI — the decisions are rules their team can read and trust.
Supplier inspection-report verification
A precision-manufacturing quality team checks supplier First-Article Inspection Reports by hand against the engineering drawing. We built a verify-and-flag tool: a tiered extraction pipeline (PDF text → OCR → an LLM only as a last-resort fallback) reads the reported values, then a deterministic engine checks them against drawing tolerances and GD&T and flags discrepancies. AI reads the document; rules make the call.
AI booking-automation agent for a travel operator
A travel operator's booking desk ran on a manual, human-driven SOP. We turned it into an n8n-based automation platform with an AI chat agent — capturing trip requirements and driving the end-to-end booking workflow across a multi-service stack (n8n engine, chat widget, AI gateway, analytics dashboard).
Loan & EMI lead-qualification chatbot
For a financial-services site, an embeddable AI chat widget that prequalifies loan leads across nine data points (income, CIBIL, existing EMIs) and generates a structured application summary — paired with an interactive EMI calculator. n8n workflow backend, floating-widget UI.
Anonymized — no client names, logos, or confidential figures. These are Flexilytics client engagements, not products. More available under NDA on request.
One sharp problem, working build.
Good fit
- You need one working system, not a platform transformation
- Budget and timeline are MSME-scale: weeks, not quarters
- You want to own and read the logic, not depend on a black box
- Order-to-cash, verification, collections, or a single-process web app
Not the fit
- Multi-department enterprise rollouts
- Large, custom multi-service systems
- Heavy data-platform programmes
- For those, see AI Augmented Custom Dev
One problem. One working system. A few weeks.
Talk to us