UP.AIACT.IN
![[and more...] (3).png](https://static.wixstatic.com/media/f0525d_a8e80b852d194395a9eebf462f119e10~mv2.png/v1/crop/x_46,y_517,w_3104,h_1725/fill/w_980,h_545,al_c,q_90,usm_0.66_1.00_0.01,enc_avif,quality_auto/%5Band%20more___%5D%20(3).png)
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.
Project Lifecycle Governance, Procurement Rules
Problem Statement
Publicly funded tech pilots frequently decay into temporary, non-actionable demonstrations because they lack post-deployment budgets, map to vague non-enforceable metrics, and fail to identify a permanent operational owner.
What is the plausible risk of ignoring the Problem Statement?
Budgeting exclusively for the initial deployment phase, assigning accountability to non-permanent consultants or temporary SPVs, and tracking redundant indicators that no official can act on.
Here's what the UP.AIACT.IN Report 2026 Recommends.
Assume a minimum recurring operational cost of 30% of the initial deployment cost annually, and return any proposals for revision that fail to account for this. Remove any performance indicators that cannot be proven to connect a field action to a measurable service outcome before launch. Prohibit the approval of any pilot that has not identified its permanent departmental role before launch.
What can the UP Government consider as a Policy Mandate based on our specific Recommendation?
The state must enforce three non-negotiable approval requirements for all sandbox innovations: (a) a confirmed, ring-fenced 18-month operational budget for post-deployment data upkeep, model recalibration, staff training, and field feedback; (b) a mapping where every indicator connects a specific field action to a measurable service outcome; and (c) the explicit naming of a permanent departmental role accountable for long-term operations.
What's the AI Intervention Layer in this Recommendation?
Strict programmatic execution of procurement kill-switches and approval gates that block any pilot functioning merely as a technical demonstration.
Here's how our stakeholders measured impact of our specific Recommendation.
Every approved sandbox pilot successfully transitions into standard departmental operations by month 18 under the direct accountability of a specific departmental role.
What can be some possible Economic Spillover if our Recommendation is implemented?
Eliminates public sector resource waste by prioritizing highly optimized deployments featuring clean, actionable indicators over sprawling, unmanageable technical architectures.
In which Chapter of the UP.AIACT.IN Report 2026 can you find this recommendation?
Chapter 9