Enterprise
AI inside the systems your company already runs on.
Assistants and automations wired into Microsoft 365, Google Workspace, SAP, Salesforce and your own databases, with your security rules intact.
Where AI pays back first
Internal knowledge assistant
Problem. Staff waste hours finding the right policy, SOP or past decision.
What AI does. Answers from your documents with sources, through your company login, respecting existing permissions.
Invoice and PO automation
Problem. Finance teams match invoices, POs and receipts by hand.
What AI does. Reads the documents, matches them and flags only the exceptions for a person to check.
Contract review assistant
Problem. Legal teams are the bottleneck on every deal.
What AI does. Highlights unusual or risky clauses against your playbook so lawyers start from a marked-up draft.
Ask your data
Problem. Managers wait days for a simple report.
What AI does. Plain-language questions become charts from your own databases, with the query shown.
Meetings to CRM
Problem. Notes from sales calls never make it into the CRM.
What AI does. Summaries, next steps and deal updates written into your CRM after each call.
Customer service assistant
Problem. Support queues grow faster than headcount.
What AI does. Resolves common requests on your channels and hands over complex cases with full context.
Interfaces in English, Bahasa Indonesia and Arabic.
What we don’t do
Replace your systems. We connect AI to the tools you already run, so there is no migration project and nothing your teams have to relearn from scratch.
Built to actually be used
Most enterprise AI pilots stall at adoption, not at the technology. We design for the people who will use the tool every day and plan the rollout with them, drawing on our background in behavioral psychology.
Safeguards, built in
How to start
Start with an AI Opportunity Audit ($4,900, credited to the build) to rank where AI pays back. Then a paid pilot on one workflow, then rollout.