Every business has a different workflow. We do not sell a generic tool. We build and deploy AI workers custom-made for your exact process your products, your pricing, your approval flow, your clients.
These are not future roadmap items. These are deployable today.
Pharma, hardware, FMCG, textiles, chemicals
What the AI does: Reads enquiry emails → extracts product list → matches catalogue → calculates pricing → builds formatted quote → sends for approval → sends to client → logs everything.
Human effort: 10-second approval/quote
Time saved: 30–45m → < 1m
Who needs this: Any business receiving 10+ product enquiry emails per day
Distributors, wholesalers, manufacturers
What the AI does: Reads order emails or WhatsApp messages → extracts order details → checks stock availability → confirms pricing → creates order confirmation document → notifies warehouse → updates records.
Human effort: Review & approve confirmation
Time saved: 20–30m → < 2m
Who needs this: Businesses processing 20+ orders per day manually
Export, import, B2B trading, manufacturing
What the AI does: Receives RFQ by email → reads specification requirements → matches products or materials → prepares detailed technical and commercial quotation → routes for approval → sends response.
Human effort: Technical review for complex specs
Time saved: 2–3 hours → 15–20m
Who needs this: Export businesses, project-based suppliers, manufacturers
All B2B businesses
What the AI does: Tracks every sent quote and order → monitors for replies → sends Day 2 follow-up if no response → sends Day 4 escalation follow-up → flags to sales team if still no response by Day 6 → logs all activity.
Human effort: Review escalation list weekly
Time saved: Eliminates manual tracking entirely
Who needs this: Any sales team that loses deals because follow-ups are forgotten
Manufacturing, procurement, construction
What the AI does: Sends vendor enquiries → collects and compares quotes from multiple suppliers → builds comparison summary → routes for approval → sends purchase orders → follows up on delivery.
Human effort: Final vendor selection and PO approval
Time saved: 3–4 hours → automated
Who needs this: Businesses managing 10+ vendors with regular procurement
E-commerce, retail, SaaS, services
What the AI does: Reads incoming support emails → classifies query type → drafts personalised response → sends for approval or sends directly for standard queries → logs ticket → follows up if unresolved.
Human effort: Review non-standard/sensitive queries
Time saved: 15–20m → < 2m
Who needs this: Businesses receiving 20+ support emails per day
B2B sales, real estate, education, services
What the AI does: Reads incoming enquiries from website/email/WhatsApp → extracts lead details → scores lead based on criteria → sends personalised acknowledgement → routes hot leads to sales team immediately → schedules follow-up for warm leads.
Human effort: Sales handles only qualified leads
Time saved: Eliminates manual sorting & initial response
Who needs this: Businesses with high enquiry volume and limited sales bandwidth
Finance, legal, pharma, logistics, HR
What the AI does: Receives documents by email → reads and extracts key information → checks for completeness → flags missing fields → routes to correct department → logs submission details.
Human effort: Review flagged/incomplete docs only
Time saved: 20–30m → 2–3m
Who needs this: Businesses processing forms, applications, or compliance docs
You do not need technical knowledge. You just need to explain your current workflow to us we handle everything else.
We have a call. You walk us through your current process what emails you receive, what you do with them, what the output looks like, where the pain is. We ask questions. We take notes. At the end of the call we give you a clear recommendation: what we would build, how long it would take, and what it would cost. No obligation.
We map out exactly how your AI workers will operate what triggers each step, what data they extract, how they search your catalogue, what the output format looks like, how approvals work. You review and confirm the design before we build anything.
We build your AI workers, connect them to your email and data systems, configure the product matching with your catalogue, and test with real sample emails. We run multiple test cycles until accuracy is above 90%.
We deploy to your live environment. Your team gets a 30-minute walkthrough of how to use the approval dashboard. You start processing real emails with AI from day one.
We monitor your system every week tracking accuracy, catching errors, and making improvements. Your AI workers get better over time. If you want to add a new workflow or expand to a different process, we build it on top of what already exists.
The pain: Large product catalogues (often 1,000–5,000+ items), high daily quote volume, strict pricing structures, compliance requirements.
What we automate: Quote generation, order confirmations, product substitution suggestions, follow-ups, expiry tracking alerts.
Typical client: Pharma distributor, medical equipment supplier, hospital procurement team.
Typical result: 80–90% reduction in time spent on quotations.
The pain: Complex multi-product RFQs, multiple currencies, shipping and customs documentation, vendor coordination across time zones.
What we automate: RFQ processing, proforma invoice generation, vendor communication, shipment follow-ups, document checklist management.
Typical client: Export house, trading company, import agent.
Typical result: 2–3 hour RFQ processing time reduced to under 20 minutes.
The pain: Vendor management, raw material procurement, production order coordination, multiple approval levels.
What we automate: Vendor RFQ sending and comparison, purchase order generation, delivery follow-ups, production schedule communication.
Typical client: Small to mid-sized manufacturer, industrial goods trader.
Typical result: Procurement coordination time cut by 70%.
The pain: High volume of customer queries, return requests, order status questions, lead qualification from multiple channels.
What we automate: Customer support responses, order status updates, return processing, lead capture and qualification, review follow-ups.
Typical client: D2C brand, online retailer, marketplace seller.
Typical result: Support team handles 60% fewer manual tickets.