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TashIT

Reliable data for public programmes and services

Public programmes, cities and infrastructure operators are judged on what they can verify. We build verification, monitoring and citizen-service tools that leave audit-ready records, hosted in line with public-sector data rules.
Discuss your operationRecommended solutions
Where we would start
Intelligent Document Processing
Typical pilot length
10–16 weeks
How we engage
Paid diagnostic, then a paid pilot

Operating context

What is changing for public programmes, cities and infrastructure operators in 2026

Public budgets are under strain, and funders, auditors and citizens expect evidence of results. More programmes now pay providers only for verified outcomes, such as enrolled students, completed training or delivered services, which makes record linkage and verification central to the programme itself.

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Cities and utilities are installing bulk meters, sensors and cameras, often for the first time, and need to turn that data into action on non-revenue water, waste collection and asset maintenance. E-procurement is already mandatory for federal agencies in Pakistan and is being introduced in many other jurisdictions, which makes public tenders more open and more document-heavy. Data sovereignty rules often require public data, and any AI used on it, to stay in-country.

Regulatory points are general information, not legal advice. Rules change, so check the current position with your advisers.

Challenges

Common challenges for public programmes, cities and infrastructure operators

These are the problems that cost the most and that data, software and automation can measurably reduce.

  • Verifying who and what was delivered

    Payments against enrolment, attendance or delivery depend on records that can be duplicated, inflated or incomplete.

  • Leakage in public networks

    Water, energy and fuel are lost in networks and fleets that have never been fully metered or monitored.

  • Fragmented records

    Departments keep separate databases and spreadsheets with no shared identifiers, so every report means manual matching.

  • Access to services

    Citizens queue or travel to submit forms and follow up requests that could be handled online or by an assistant.

  • Procurement and audit requirements

    Projects must meet transparent procurement, documentation and data-protection rules, and still stand up to audit years later.

Use cases

Where AI and automation pay back for public programmes, cities and infrastructure operators

Applications we can design and build for this sector. Each can start as a contained pilot covering a single district, programme cohort or supply zone.
Scope a pilot with us
  1. Record linkage and de-duplication across programme, payment and registration datasets
  2. Verification workflows for outcome-based payments, with a full audit trail
  3. Bulk meter and district metered area analytics for non-revenue water
  4. Municipal fleet telematics and maintenance tracking for waste and service vehicles
  5. Form and document digitisation, with extraction and routing to the right department
  6. Citizen-facing portals and assistants hosted in-country
  7. Monitoring dashboards for programme managers, funders and auditors

Recommended solutions

Where we would start

Solutions for public programmes, cities and infrastructure operators with a defined scope, data requirements and pilot plan. Each page explains how it works and how success is measured.

Relevant services

Capabilities behind the work

The disciplines we combine for this sector, from data integration and AI to the software your teams use every day.

FAQ

Questions about a first project

Answers for public programmes, cities and infrastructure operators weighing up a first pilot.

How we engage

  1. Step 1: Paid diagnosticTypically 1–3 weeks

  2. Step 2: Paid pilotFixed scope, measures agreed in writing

  3. Step 3: Rollout or managed serviceScoped after the pilot

How our engagement models work
What is a good first AI or automation project for public programmes, cities and infrastructure operators?

We would suggest starting with one district or one programme cohort. It runs as a fixed-scope paid pilot, after a short paid diagnostic, with a baseline and success measures agreed in writing before it starts, so you decide on rollout with evidence in hand.

How long does a pilot take?

Typically 10–16 weeks, after a paid diagnostic of 1–3 weeks. Length depends mainly on data-sharing agreements, hosting approvals and access to the datasets being matched. The pilot ends in a clear go or no-go decision against the measures agreed at the start.

What data do you need to get started?

We usually ask for programme or beneficiary records and payment files; registration datasets that are permitted for matching; meter, sensor or fleet data, where relevant; data-sharing agreements and hosting requirements. During the paid diagnostic we review what you already have and say plainly where gaps need to be closed.

Which solutions would you start with?

We would usually start from Intelligent Document Processing, Utility Loss & Revenue Assurance, Predictive Maintenance & Fleet Intelligence or Enterprise AI Agents & Private AI. Each has a defined scope, data requirements and pilot plan, set out on its own page.

Do you work outside Pakistan?

Yes. TashIT is headquartered in Pakistan, our first market, and works with clients internationally, including in the GCC. Regulatory points on these pages are general information, not legal advice.

Related industries

Sectors with similar problems

These industries share several of the same solutions, so the same building blocks and methods carry across.

Start with one measurable pilot

Tell us which site, network or process you want to improve and the number you want to move. We will reply with a scoped first step, the data we would need and an honest view of the likely value.

Start a projectAll industries