Our Work
Technology matters. Business results matter more.
How we design AI agents for real operational workflows: the challenge, the architecture, the systems and what we measure.
Industrial Quotation Automation
An industrial equipment distributor receives RFQs in every format, and estimators re-key each one into the client's ERP system.
Solution architecture
Document understanding agent → product matching against catalog → ERP pricing lookup → reviewer queue → quote generation.
Systems integrated
Workflow before AI
- Manual reading of RFQs
- Catalog searches by hand
- Prices copied from ERP
- Quote typed in a template
Workflow after AI
- RFQ parsed on arrival
- Matches proposed with confidence
- Pricing pulled automatically
- Rep reviews and sends
KPIs we measure
Quote turnaround · Quotes per estimator · Match accuracy
Order Processing Automation
Customer service reps spend most of the day typing purchase orders from PDFs and emails into the ERP.
Solution architecture
Inbox monitor → extraction → validation against customer, price and stock → ERP draft order → exception queue.
Systems integrated
Workflow before AI
- PO opened and read
- Lines keyed manually
- Errors caught after shipping
Workflow after AI
- Orders captured automatically
- Validated before entry
- Only exceptions need a person
KPIs we measure
Order entry time · Accuracy · Orders per rep
Enterprise Knowledge Assistant
Technicians and service staff lose time finding the right manual, procedure or past fix.
Solution architecture
Permission-aware retrieval over manuals, SOPs and tickets → source verification → cited answer in Teams.
Systems integrated
Workflow before AI
- Search across drives
- Ask senior staff
- Wait for answers
Workflow after AI
- Ask in plain language
- Answer with citations
- Gaps reported to owners
KPIs we measure
Time to answer · First-contact resolution · Onboarding speed
Have a workflow like these?
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