Which public-sector teams actually attend?

Policy, administrative, communications, citizen-service, procurement, reporting, and oversight staff, usually together in one cohort from your institution. Where the group is large, we split by workflow so each subgroup drafts on the document types closest to their own desk.

Do we need any coding or technical background?

Coding or data experience is not assumed because the program works entirely from your own documents and processes.

How long does the program run, and where?

The core syllabus runs about 13 hours. Most institutions take it onsite or live online across two days, though we can split it into shorter sessions where operational continuity matters more than a clean two-day block.

Will the exercises use our own documents, or generic examples?

Your document types and service channels under your governance rules. Live protected records are never required for this. Sanitized or anonymized examples and synthetic material reproduce the same workflow safely.

Does the training lock us into one AI vendor?

No. The working methods carry across mainstream tools such as ChatGPT, Microsoft Copilot, and Gemini, and if your institution runs an approved enterprise platform, we align the exercises with whatever controls it already has.

How does the program handle KVKK and public records?

Participants learn to tell public information apart from personal, confidential, and restricted records, minimize what they collect, and stick to approved tools and access paths. This gives your teams working safeguards. It's not a legal opinion or a compliance guarantee.

Can AI ever decide someone's rights or eligibility in an enforcement outcome?

No. AI may help with research, summarization, drafting, and administrative preparation, but it must never determine eligibility, rights, enforcement, sanctions, benefits, permits, or any other public decision. That line holds regardless of how confident the draft sounds, and the authorized person who signs off carries every judgment and every approval.

What does a department keep once the trainers leave?

Teams keep a working prompt library built during the sessions. They keep document patterns for the correspondence and reports they write most. They keep review and escalation checklists their reviewers can reuse. And they leave with a rollout plan sized to their own department.

AI Training · Public sector

AI Training for Public-Sector Teams

Public institutions write for a living: policies, correspondence, reports, guidance, citizen letters. Most of it has to hold up if someone reopens the file months later. This program helps your teams draft that material faster with generative AI, using verified sources instead of guesswork.

The decisions stay with people. Eligibility, rights, enforcement, and every other public decision remain with authorized officials, and accountability and data protection never shift onto the tool.

modules: 6
hours: 13

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Briefing notes, correspondence, meeting records, procurement files, service guidance, circulars, and citizen letters make up a public institution's output. Much of it must survive a records request or audit, including an appeal years later. A fluent AI draft can invent a policy detail or change an eligibility condition. It can also drop the one exception a rule depends on. The error may not surface until a citizen is affected or an auditor asks for the source.

None of that argues against using it — much of a department's week is the same facts recast for a different reader, and generative AI drafts that well once given verified sources and a human reads the output first, with the record and decision staying with a named reviewer. Teams summarize policy documents, draft correspondence and FAQs, adapt material across channels, and prepare procurement paperwork, with KVKK-aware data rules and sign-off intact. Pair it with AI literacy and prompt engineering training.

Public work runs on paperwork

Briefing notes, correspondence, meeting records, and service guidance all compete for limited staff hours — generative AI can produce a usable first draft once someone checks it against verified sources.

Why does the same rule read five different ways?

The same approved fact supports a web page, a call-center script, a leaflet, and an email reply, and each version tends to drift a little further from the last — AI-assisted rewriting adapts one approved source across every channel without changing what it means.

Nobody has time to read every circular

Rules, procedures, and circulars pile up across departments and years — a well-designed knowledge workflow helps staff search that pile and draft a cited answer from approved material, and says so when the source is unclear.

Fluent doesn't mean correct

A polished paragraph reads like an answer whether or not it is one — public-sector use needs a named reviewer, a source check, version control, and a record of exactly where AI touched a document.

Some decisions are never the model's to make

AI may support research and drafting during administrative preparation, but it must never determine eligibility, rights, enforcement, or sanctions — authorized officials remain responsible for that judgment and every approval.

01
What generative AI can and cannot do in government work
120 minBeginner
A shared, plain-language picture of what language models actually do, before anyone drafts any live material. Participants practice separating safe drafting support from the decisions that must stay entirely with a person.
How a language model can sound certain and still be wrong
Drafting and summarizing work that's safe to hand off
Rights, eligibility, enforcement: what AI must never decide
Hallucination and misplaced confidence
A five-minute risk check before you start
02
Prompt structure for policy and internal documents
120 minBeginner
A repeatable prompt structure for briefs, correspondence, and guidance, practiced on the documents your teams already write, with attention to what stays out of the prompt entirely.
A prompt structure built for public-sector documents
Summarizing procedure without losing the exceptions
Correspondence drafts with the right tone
Asking for sources
A team prompt library
03
Turning approved information into citizen-ready content
150 minIntermediate
Approved service information becomes FAQs, email drafts, web copy, and call-center guidance without losing its official meaning. Teams practice plain-language and accessibility checks, and learn where to route a case-specific question instead of guessing.
Plain language, same meaning
Channel-ready drafts for web, email, print, and phone
Building FAQs from approved sources only
Accessibility and reading-level adjustments
Where to send an ambiguous question
Checking that rights and conditions survive the rewrite
04
Meeting notes and reports behind procurement paperwork
150 minIntermediate
Meetings and procurement generate paperwork alongside routine reporting that eats a week fast. AI can turn notes into a clean summary or a first-pass report outline. None of it replaces the committee's evaluation or the official sign-off on an award.
Notes into decisions with owners and deadlines
Comparing versions, catching what changed
Report outlines from verified inputs
Procurement checklists and clarification drafts
Support work, not bid evaluation
A record of sources and reviewers
05
Daily oversight of public records under KVKK
120 minIntermediate
Data-protection and accountability principles become daily working rules here. Teams decide what may enter an approved tool and when anonymized or synthetic examples stand in for real records. Oversight stays inside every AI-assisted workflow.
Personal data and sensitive records kept apart from public information
KVKK boundaries for prompts and uploads
Approved tools versus consumer accounts
Anonymized and synthetic practice data
Review, disclosure, retention, and logging
When to escalate an exposure
06
Moving from pilots to governed daily use
120 minAdvanced
Isolated experiments turn into governed adoption once a pilot has an owner and a review standard, with a metric that isn't just login counts. Participants leave with a phased plan matched to each department's risk level. Nothing here promises adoption without oversight.
Picking a pilot with measurable value
Owners and reviewers with named escalation contacts
Writing acceptable-use and no-go rules
Quality and correction effort reflected in adoption metrics
Keeping prompts and sources current
A phased plan by department risk

What you will learn

Summarize policy documents without losing a single condition
Draft correspondence and reports a reviewer can approve fast
Write citizen communication that stays plain and still accurate
FAQ content from approved sources
A working sense of where KVKK draws the line
Escalation and audit steps built into daily work
A pilot with named owners
Human authority over eligibility and rights, including enforcement and every public decision

Who should attend

Department heads setting the AI policy for their unit
Policy and strategy teams responsible for research
Citizen services and call-center teams
Whoever drafts internal correspondence and administrative notices
Procurement and reporting staff in committee secretariat functions
Legal, data-protection, information-security, and audit reviewers

About 13 hours of instruction, run over two days or split into shorter live sessions to fit around department schedules. Every exercise uses your institution's approved tools for its document types and governance rules.

Format: Onsite or live online
Duration: About 13 hours, delivered over 2 days or in shorter sessions
Group size: Up to 20 participants per group
Language: English or Turkish
Materials: Prompt library, review checklists, document templates, and exercise workbook
Certificate: Certificate of completion

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Choose one department and list its documents and service channels under the governance rules it follows. Those details become a scoped program with public decisions left exactly where they belong.

Two colleagues updating a workflow board and checking a process change

Which public-sector teams actually attend?
Policy, administrative, communications, citizen-service, procurement, reporting, and oversight staff, usually together in one cohort from your institution. Where the group is large, we split by workflow so each subgroup drafts on the document types closest to their own desk.
Do we need any coding or technical background?
Coding or data experience is not assumed because the program works entirely from your own documents and processes.
How long does the program run, and where?
The core syllabus runs about 13 hours. Most institutions take it onsite or live online across two days, though we can split it into shorter sessions where operational continuity matters more than a clean two-day block.
Will the exercises use our own documents, or generic examples?
Your document types and service channels under your governance rules. Live protected records are never required for this. Sanitized or anonymized examples and synthetic material reproduce the same workflow safely.
Does the training lock us into one AI vendor?
No. The working methods carry across mainstream tools such as ChatGPT, Microsoft Copilot, and Gemini, and if your institution runs an approved enterprise platform, we align the exercises with whatever controls it already has.
How does the program handle KVKK and public records?
Participants learn to tell public information apart from personal, confidential, and restricted records, minimize what they collect, and stick to approved tools and access paths. This gives your teams working safeguards. It's not a legal opinion or a compliance guarantee.
Can AI ever decide someone's rights or eligibility in an enforcement outcome?
No. AI may help with research, summarization, drafting, and administrative preparation, but it must never determine eligibility, rights, enforcement, sanctions, benefits, permits, or any other public decision. That line holds regardless of how confident the draft sounds, and the authorized person who signs off carries every judgment and every approval.
What does a department keep once the trainers leave?
Teams keep a working prompt library built during the sessions. They keep document patterns for the correspondence and reports they write most. They keep review and escalation checklists their reviewers can reuse. And they leave with a rollout plan sized to their own department.

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AI Training for Public-Sector Teams