Government workforce training cover

Government workforce training

Role-specific practice aligned with the agency's actual tool permissions.

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For
Public-sector learning and development teams
Solves
Staff training lacks relevant approved-tool workflows.
Delivers
Agency-specific AI learning program
Built in
about 6 weeks of creation time, MVP in 7 days
Investment
$12,000 for the MVP, $50,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For public-sector learning and development teams, turn agency policies, role tasks and training examples into agency-specific AI learning program.

  1. Map approved use cases.
  2. Create task exercises.
  3. Explain data boundaries.
  4. Assess outputs.
  5. Run live clinics.
  6. Refresh policy-linked lessons.

What goes in, what comes out

What the customer puts in
  • Agency policies
  • Role tasks
  • Training examples

AI drafts, people review. Role-based learning platform and course authoring console.

What the customer gets
  • Agency-specific AI learning program
02

How it works

The workflow

  1. In
    Start with

    Agency policies, role tasks and training examples

  2. 1

    Define learning objectives

  3. 2

    Map approved source material

  4. 3

    Review lessons and questions

  5. 4

    Assess the learner’s starting point

  6. 5

    Deliver targeted practice

  7. 6

    Collect evidence of competence

  8. 7

    Update affected lessons when sources change

  9. Out
    Finish with

    Agency-specific AI learning program

AI does the heavy lifting, people stay in charge

Draft lesson structure, examples, explanations and practice questions from approved material. Adapt practice using demonstrated responses. Educators validate answer keys and content. Completion status is distinct from demonstrated ability.

What your team sees

Key screens: Role pathways, practice lab, manager overview. Provide a learner home with the next useful lesson, a practice activity and progress evidence. Give authors a source-linked course editor and assessment review queue. Supervisors see completed tasks and explicit sign-offs. Use short modules that work on mobile as well as desktop. In this product, the first view is role pathways, followed by practice lab and manager overview.

Accounts and administration

Learner enrollment, content versions, assessment review, role pathways, accessibility options, supervisor sign-off, progress records and source update alerts.

Integrations and data access

Official publications, agency document stores and approved service workflows. Learning portals, employee or member directories and completion exports. Validate standards and identity requirements before promising native LMS compatibility. These are candidate integration categories, not verified supported connectors.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    7 days

    One buyer segment, one recurring use case; first modules: map approved use cases; create task exercises. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    8 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    3 weeks

    Remaining modules: assess outputs; run live clinics; refresh policy-linked lessons. Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will public-sector learning and development teams use it to solve "staff training lacks relevant approved-tool workflows"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Teach one important task to a small cohort.
  4. Measure, then decide. Track task competence and verified workplace adoption. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Begin with public-sector learning and development teams and one recurring use case. Build the first two modules: map approved use cases; create task exercises. Provide operator assistance for the third module: explain data boundaries. Deliver agency-specific AI learning program through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

After the MVP. After paid pilots establish value, automate the remaining modules: assess outputs; run live clinics; refresh policy-linked lessons. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.

What the build depends on. Clear objectives, licensed or approved sources, validated assessments, learner state and source-change tracking. Media and accessibility requirements affect production effort.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: map approved use cases; create task exercises. Manual review in the loop.

    $12,000 · about 7 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $16,000 · about 8 days of creation time

  3. Phase 3

    Full product

    Remaining modules: assess outputs; run live clinics; refresh policy-linked lessons. Self-serve onboarding, billing, monitoring and the wider integration set.

    $22,000 · about 3 weeks of creation time

Indicative total, MVP to full product$50,000about 6 weeks of creation time · start with the MVP from $12,000

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$50–$100$50–$110$100–$210
Full productabout 50 customers$190–$380$420–$840$610–$1,220
05

Run it or resell it

Internally

For your own team

Public-sector learning and development teams run it inside the business: agency policies, role tasks and training examples in, agency-specific AI learning program out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#3a9127
  • accent#c954ba
  • surface#e7f1e4
  • ink#22201e
Headings
Playfair Display
Text
Source Sans 3
Voice
Plain-spoken, neutral, accountable
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 750-3,000 for one custom learning pathway, then USD 10-40 per active learner monthly with a minimum account fee. Public memberships may use lower fixed subscriptions. Prices are experiments, not benchmarks.

Message to test

Government workforce training for public-sector learning and development teams. Role-specific practice aligned with the agency's actual tool permissions. Demonstrate the claim through a practical workshop for one administrative role.

Where to find buyers

Public-sector training providers

Lead magnet

A practical workshop for one administrative role

The first 30 days

  1. Week 1: interview five prospective buyers in this segment: public-sector learning and development teams. Ask to see a recent example of the problem and their current process.
  2. Week 2: prepare this demonstration using authorized or synthetic material: a practical workshop for one administrative role.
  3. Week 3: present it through public-sector training providers and seek one narrowly scoped paid pilot.
  4. Week 4: review task competence, verified workplace adoption, total delivery effort and a concrete renewal decision before increasing scope.

Paid pilot

Teach one important task to a small cohort. Compare performance before and after on different examples, gather educator review and check whether learners can apply the skill outside the lesson. For this solution, use agency policies, role tasks and training examples and evaluate agency-specific AI learning program. Agree success thresholds with the buyer before starting; collect a baseline for task competence, verified workplace adoption. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.

Success metrics

Task competence, verified workplace adoption

Retention and expansion

Refresh lessons when their source changes, add task-specific practice and review real application of the learning. Expand into adjacent roles after proving usefulness.

Why clients would pick it

A reviewed niche curriculum, realistic practice tasks and evidence of useful learning outcomes in a defined role. For this solution, build around role-specific practice aligned with the agency's actual tool permissions. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.

Alternatives and positioning

Courses, internal trainers, learning management systems and static training documents. Differentiate on this specific proposed advantage: role-specific practice aligned with the agency's actual tool permissions. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.

Main delivery costs

Instructional design, subject review, media production, assessment validation, learner support and content refreshes.

06

Safeguards

Preserve official source versions, accessibility and audit records. Confirm agency-specific procurement, records and data handling requirements during discovery. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

Get this solution built

Built for you by our AI software factory, MVP in about 7 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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