Six ways we close the gap between legacy and AI

Our solutions

1. 01

   Enterprise AI copilots

   Natural-language assistants that query ERP, CRM and document stores — and answer with citations, inside the permissions each user already has.

   Your people shouldn't need a report request and a three-day wait to answer a cross-system question. We build copilots that sit on top of your systems of record, understand your business vocabulary and respond in seconds — with the sources cited and every answer filtered by the asker's role.

   Typical use cases

   • Finance: “Which invoices over 30 days are blocking supplier payments?”
   • Operations: “Show plants trending behind on this week's dispatch plan.”
   • Sales & service: account briefs pulled from CRM, ERP and email in one view

   What changes

   • Answers in seconds, not days
   • Fewer ad-hoc report requests
   • Adoption inside existing tools
2. 02

   Intelligent document processing

   Extract, validate and post data from invoices, purchase orders, contracts and KYC files straight into your systems of record.

   Documents are where legacy processes leak the most time. We combine OCR, layout understanding and LLM extraction with your own validation rules, so data lands in the ERP clean — and exceptions route to a human with everything they need to decide.

   Typical use cases

   • Three-way matching of invoices, POs and goods receipts
   • KYC, onboarding and claims document checks
   • Contract clause extraction and obligation tracking

   What changes

   • Less manual re-keying
   • Exception-only human review
   • Full audit trail per document
3. 03

   Integration & API fabric

   Wrap legacy platforms — including mainframes and on-prem databases — in secure, modern APIs and event streams.

   Most AI projects stall because the data is locked inside systems with no usable interface. We build the connective tissue: secure APIs, change-data-capture and event streams around your legacy estate, so every new capability plugs into one governed layer instead of another point-to-point script.

   Typical use cases

   • REST & event APIs over SAP, Oracle and AS/400 estates
   • Change-data-capture from on-prem databases
   • Retiring brittle point-to-point scripts and file drops

   What changes

   • One governed integration layer
   • Real-time data, not nightly batches
   • Faster delivery of every future project
4. 04

   Workflow & agentic automation

   Automate multi-step, cross-system processes with AI agents that hand off to people exactly where judgment is needed.

   We redesign the swivel-chair processes that bounce between screens, inboxes and spreadsheets. AI agents handle the routine steps across systems, escalate the edge cases with full context, and log every action they take.

   Typical use cases

   • Employee onboarding across HRMS, payroll and IT
   • Order-to-cash exception handling
   • Vendor onboarding and compliance checks

   What changes

   • Shorter cycle times
   • Consistent, auditable execution
   • People focused on exceptions
5. 05

   Data & decision intelligence

   Unify scattered data into a governed layer that powers live dashboards, forecasting and anomaly detection.

   We bring data from your ERP, CRM, plant and field systems into a governed model your teams trust — then put forecasting, anomaly detection and plain-language analytics on top, so decisions are made on today's numbers rather than last month's exports.

   Typical use cases

   • Demand and inventory forecasting
   • Anomaly alerts on spend, quality or fraud signals
   • Executive dashboards with drill-down to source

   What changes

   • One version of the truth
   • Earlier warning on risk
   • Self-serve analytics
6. 06

   Incremental modernization

   Retire legacy one capability at a time with a strangler-pattern approach — no big-bang cutovers, no business disruption.

   Rip-and-replace is a multi-year bet most businesses can't afford to lose. We modernize incrementally: route one capability at a time to a modern service, run it in parallel, prove it, then retire the legacy piece — until the old core is small enough to switch off safely.

   Typical use cases

   • Carving modern services out of monolithic ERPs
   • Migrating custom on-prem apps to the cloud
   • Replacing spreadsheet-driven processes with governed apps

   What changes

   • No big-bang risk
   • Value delivered every quarter
   • A smaller legacy footprint each release