UP.AIACT.IN
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28 Stakeholders. 4 Editors. 10 Sectors. 1 Uttar Pradesh.
India's first AI Transformation Report and Matrix on the State of Uttar Pradesh, India
The AI Transformation Matrix: Problem Statements
Powered by AIACT.IN, the matrix offers a consolidated version of 77 distinct recommendations in the form of "Sectoral Playbooks" from the UP.AIACT.IN Report 2026.
Public IT Procurement, System Architecture
Problem Statement
Public technology deployments face extreme vendor lock-in risks, black-box architectures, and high terminal costs because standard tenders lack strict architectural and accountability safeguards.
What is the plausible risk of ignoring the Problem Statement?
Engaging in post-award negotiations with technically non-compliant vendors, or permitting systems to deploy without source code escrow or documented handover runbooks.
Here's what the UP.AIACT.IN Report 2026 Recommends.
Require full data portability where all data is exportable in open, non-proprietary formats within 72 hours of departmental request. Mandate a plain-language vendor-supplied maintenance and handover runbook to enable an in-house team or replacement vendor to operate the system independently within 90 days of contract termination.
What can the UP Government consider as a Policy Mandate based on our specific Recommendation?
The State Data Centre Authority must enforce a mandatory technical evaluation threshold for all AI procurement recommended at 50 lakh rupees and above, requiring full open API access, source code escrow or replication rights, and a third-party safety and ethical audit certificate.
What's the AI Intervention Layer in this Recommendation?
Programmatic execution of non-negotiable tender evaluation gates that immediately disqualify any bid failing to meet all five defined technical conditions.
Here's how our stakeholders measured impact of our specific Recommendation.
Bidders provide full verification of open API access and third-party audit reports certifying algorithmic fairness, red-teaming robustness, and data privacy compliance under the DPDP Rules, 2025.
What can be some possible Economic Spillover if our Recommendation is implemented?
Hardcodes personal accountability into the procurement SOP, making the procurement officer personally liable for any resulting vendor lock-in costs if prohibitory contracts are authorized.
In which Chapter of the UP.AIACT.IN Report 2026 can you find this recommendation?
Chapter 10