Consulting · Procurement
Enterprises that have not bought AI systems before make predictable mistakes. We help you design the buy so vendors compete on outcomes — not on demo theatre.
Enterprises that have not bought AI systems before make predictable mistakes: they write RFPs that vendors can game with feature checklists, they evaluate demos instead of real capability on their data, they sign contracts with unfair IP terms or exit restrictions, and they underestimate implementation cost until the budget is already committed.
In Bangladesh and regional group procurement, those mistakes compound — a parent-approved vendor may not fit local data constraints, and a low licence fee can hide years of integration and change cost. Once the contract is signed, reversing course is slow and expensive. Legal teams inherit clauses they did not stress-test; IT inherits tools they cannot integrate cleanly; business sponsors discover total cost of ownership only after go-live pressure starts.
AI procurement advisory exists so the RFP, evaluation, demos, contract, and negotiation protect the organisation before ink hits paper — not after the wrong system is already in production. Independence matters here the same way it does in vendor selection: we have no commission on what you buy.
Design an RFP that specifies outcomes, constraints, data and security requirements, and evaluation evidence — not a feature laundry list vendors can tick without proving fit against your workflows.
Develop evaluation criteria with appropriate technical weighting so commercial scores cannot overwhelm capability, security, integration, and exit-risk factors. Scoring is agreed before proposals arrive.
Guide vendor presentation and demo structure so sessions test your use cases and data assumptions — not a polished generic walkthrough designed to impress a committee.
Review IP ownership, data rights, exit provisions, SLA terms, liability, and implementation cost assumptions so the contract matches what you think you are buying — before signature pressure closes the window.
Support negotiation for enterprise AI contracts — including implementation cost benchmarking — so commercial terms reflect real delivery risk, not optimism in the sales deck.
Procurement and commercial teams buying AI systems for the first time and wanting vendors to compete on outcomes, not feature theatre.
IT and business sponsors who need an independent review before vendor selection or board approval closes.
Legal and compliance stakeholders concerned about IP, data rights, SLA realism, and exit clauses in AI contracts.
Group procurement functions adapting global vendor agreements to Bangladesh operations, data constraints, and local delivery reality.
Ready
Start with a conversation — we will tell you honestly whether this engagement is the right next step.