Behavin

Services

Build with AI

For companies that want to identify, validate, and deploy practical AI use cases, automation, and internal tools without getting stuck at the idea stage.

The packages are structured to lower the entry barrier, clarify the next decision, and create a clean path from initial analysis to practical validation and rollout.

See the workshop

AI packages

Three packages for Build with AI

Choose the package that matches how far your AI use case is defined today: initial direction, solution design, or proof of impact.

Currency reference: CZK - using fallback rates

Entry

AI Audit

A short paid entry package for clarifying where AI or automation create real value.

Typical composition

One week of analysis, process mapping, use-case prioritization, solution direction, and recommendation of the next step.

Price range

Od 49 000 Kč

(without VAT)

Best for

  • Teams without a precise AI brief yet
  • Finding the first viable use case
  • Reducing the entry barrier before investing more

Design

Top product

Workshop and Prototype

A package for teams that need a concrete design and a first working demo.

Typical composition

Stakeholder workshop, use-case clarification, solution design, first technical validation, and a simple prototype or demo.

Price range

Od 89 000 Kč

(without VAT)

Best for

  • Teams with one selected AI direction
  • A first prototype before a larger budget decision
  • Aligning business, operations, and technical stakeholders

Validate

Proof of Concept

A package for proving impact on real data before wider rollout.

Typical composition

A pilot or PoC on real data, technical and process validation, impact measurement, and recommendation for production rollout.

Price range

Od 179 000 Kč

(without VAT)

Best for

  • Validated direction that still needs measurable proof
  • Real-data testing before a larger investment
  • Internal tools, automation, or reporting with measurable value

How it works

From discovery to delivery

  1. Step 01

    Discovery call (20-30 min)

    A focused technical conversation to understand your bottlenecks.

  2. Step 02

    Solution workshop (1-2 weeks)

    Define stream, risks, KPIs, and recommend pod type.

  3. Step 03

    Pod kickoff

    Set governance, backlog, and sprint cadence.

  4. Step 04

    Continuous delivery

    Track measurable KPIs and run regular reviews.

FAQ

Common questions

Is this staff augmentation?

No. Dedicated Engineering Pods are outcome-driven units with governance and shared accountability, not single-person bodyshopping.

What if we only need one developer?

Mini Pod is the default recommendation. Individual augmentation is considered only when explicitly required.

What is the minimum commitment?

Minimum 6 months, with a 3-month notice period.

How fast can you start?

Start timing depends on current capacity and required profile mix. We confirm realistic start windows during discovery.

Ready to scope the right AI package?

Start with a short discovery call and we will recommend whether you need AI Audit, Workshop and Prototype, or Proof of Concept.

Contact us