01
Share the current bottleneck
Send the manual workflow, decision, or AI use case you want to improve along with any delivery constraints.
Pricing
Clear pricing paths for AI automation, decisioning, and custom AI
DigiTale works with scoped starting points so founders and lean teams can adopt AI without guessing how the engagement begins.
Founder-led delivery from strategy through launch
Prague-based studio working with European and North American teams
Selected experience across Vodafone, DHL Express CZ, Tesco Stores CR, Orange Slovensko, ACO, MSD, and more
How DigiTale AI pricing works
Clear pricing paths for AI automation, decisioning, and custom AI
3 highlights
Scoped before build
You get a defined scope, clear deliverables, and a realistic timeline before any AI implementation starts.
Flexible by engagement type
AI projects can be priced as a discovery sprint, a launch build, or an ongoing partner retainer depending on what creates the fastest business value.
No agency overhead
You work directly with the senior AI engineer, which keeps communication short and pricing easier to understand.
Final pricing depends on scope, integrations, and delivery speed, but the ranges below show how AI projects are typically structured. Every engagement starts with a clear scope, timeline, and next-step plan.
Process
How the engagement typically starts
02
Get a practical scope
DigiTale maps where AI realistically helps first, clarifies what is included, and sets the likely timeline.
03
Move into build or support
Once the direction is clear, the work shifts into a scoped AI implementation or an ongoing partner rhythm.
Packages
Typical starting points
These are practical entry packages, not rigid templates. They help qualify fit and give visitors a real sense of budget before the first call.
01 · Package
AI Discovery Sprint
From EUR 1,200
Best for identifying where AI realistically creates leverage before larger implementation.
Best fit
Teams that suspect AI can help but are not yet sure where to start
Timeline
Usually 1-2 weeks
Outcome
A documented AI opportunity map with the highest-ROI build recommendation
- Discovery workshop and business-goal mapping
- AI use-case audit across operations and decisioning
- Prioritized AI roadmap with technical recommendations
"Typical use: audit operations and decisions for AI-ready use cases, evaluate vendor tools vs. custom build, or de-risk a proposed AI project before commitment."
02 · Package
AI Build and Launch
From EUR 4,500
Best for a focused AI automation, decisioning system, or custom AI tool with a clear launch goal.
Best fit
Teams with one priority AI outcome and enough clarity to execute
Timeline
Typically 3-8 weeks depending on scope
Outcome
A launched AI solution with monitoring, guardrails, and handover guidance
- Design and implementation of one core AI solution
- Integrations, evaluation, and guardrails
- Launch support, monitoring, and handover guidance
"Typical use: deploy an AI automation that takes a manual operational flow off the team, ship an AI decisioning dashboard, or release an internal copilot with company data."
03 · Package
AI Growth Partner
From EUR 1,500 / month
Best for teams that want ongoing senior AI execution after launch instead of one-off tickets.
Best fit
Teams with recurring priorities across AI automation, decisioning, and tooling
Timeline
Monthly working rhythm
Outcome
Continuous AI improvement and expansion without a large retained agency setup
- Continuous AI improvements and technical support
- Monthly prioritization across automation, decisioning, and tooling
- Fast feedback loops without a layered agency model
"Typical use: monthly automation expansion, model and prompt evaluation, decisioning refinements, and support for new AI initiatives as they appear."
FAQ
Pricing FAQ
Q · 01
Do you offer fixed pricing or hourly billing?
Most AI work starts with a scoped project price. Ongoing support and model evaluation are usually handled through a monthly arrangement when that creates a better working rhythm.
Q · 02
Can we start smaller before committing to a bigger build?
Yes. The AI Discovery Sprint exists for exactly that reason. It is a low-friction way to validate the AI opportunity before a larger investment.
Q · 03
What affects the final quote the most?
The biggest factors are AI use-case complexity, integrations with internal systems, evaluation and guardrail requirements, and how much data preparation is needed before implementation.
Reassurance
What you can expect from the first pricing conversation
A realistic range, a likely project shape, and an honest recommendation about whether to start with an AI discovery sprint, a build, or ongoing support.
Pricing
Need a clearer estimate for your AI project?
Send the current workflow, decision, or AI use case you want to improve, and DigiTale can recommend the most sensible scope and budget range.