Human-first AI Transformation

When AI helps Humans Deliver Superior Results at a Fraction of the Cost

Pavol Hejný & Jiří Jahn

2025-03-12, Deloitte

The Book

  • LLMs are the new computing paradigm, and we're building its first enterprise-ready programming language
  • While companies struggle with AI Transformation, we can make the transition as smooth as possible leveraging our language:
# ✨ Email to customer

-   PERSONA George, experienced AI consultant
-   KNOWLEDGE https://deloitte.com/
-   KNOWLEDGE https://ptbk.io/

## Write the email

> Write an email to {customerName} about opportunities in
> AI consulting and new trends in the industry.
> Include a link to the Deloitte website and also mention
> the Promptbook platform.

-> {email}

Seize The Competitive Edge

With the help of Promptbook, you can:

  • Take First-Mover Advantage: Deliver sustainable AI solutions ahead of competitors through architectural foresight
  • Mitigate Risk: Built-in compliance, auditability, and security
  • Scale Globally: AI solutions without expanding your ML department
  • Multiply Capacity: One consultant delivers work of many
  • Leverage Organic Compounding: Template blueprints across industries, multiplying AI impact from within

Deloitte 2.0: The Self-Building Enterprise

A journey through AI transformation with Promptbook

The Challenge

Meet Deloitte 2.0 - a forward-thinking professional services firm struggling with:

  • Partners spending 40% of time on repetitive client reports
  • Knowledge siloed in departments, recreating solutions already built elsewhere
  • AI experiments that never scale beyond pilots
  • Compliance risks increasing with each AI implementation

Phase 1: Blueprint Creation

  • Finance partners draft a book blueprint for automated audit report generation
  • Without coding, they define exactly what domain expertise needs capturing
  • Blueprint tested with select clients, refined based on feedback
  • Zero infrastructure, zero ML expertise required
# ✨ Audit Report Generator

-   PERSONA Experienced audit professional
-   KNOWLEDGE {client_regulatory_requirements.pdf}
-   KNOWLEDGE {deloitte_audit_methodology.pdf}

## Generate Executive Summary

> Create a concise executive summary for {client_name}'s
> audit based on {financial_data} and {compliance_findings}.
> -> {executive_summary}

Phase 2: Scaling Across Functions

  • Tax division adapts the audit blueprint for tax advisory reports
  • Consulting modifies it for industry research briefings
  • HR customizes it for talent assessment

The compounding effect: Each adaptation is 80% faster than building from scratch

Phase 3: Enterprise Integration

  • Specialized AI engineers turn successful blueprints into production systems
  • Blueprints become institutional knowledge, not individual expertise
  • Compliance and security baked in at the blueprint level
  • Firm becomes self-improving as teams use book to continuously automate their own workflows

The Self-Building Enterprise: Results

A firm that evolves from within - exactly how Henry Ford or Tomáš Baťa would approach AI transformation:

  • Business experts create blueprints without coding
  • Knowledge compounds across departments without silos
  • Compliance is standardized at the blueprint level
  • AI transformation accelerates with each new implementation
  • Results multiplier: 5x more AI solutions with the same resources

Our Team

Pavol Hejný, Founder of Promptbook

Pavol Hejný | CTO

Jiří Jahn, Founder of Promptbook

Jiří Jahn | CEO

Our Unique Insights

  1. We are not NO CODE platform

    • For devs these platforms lack control
    • For non/devs they are still programming with a crutch
  2. Anticipating futute trends

    • Mixing prompts with code will lead to technical debt
    • We are separating things that should be separated
  3. Models are commodity, we make the personalized applications

    • Models are like Intel processors in Apple
    • You can replace Intel with Arm, but you cannot replace Apple

Frequently Asked Questions

Is Promptbook secured against data leakage?

  • End-to-end encryption for all data in transit and at rest
  • On-premises deployment option for sensitive environments
  • Granular access controls and audit logging of all system interactions
  • No data storage by default - process and forget architecture

How does Promptbook add controllability and reliability?

  • Transparent AI decision paths through sophisticated logging
  • Built-in versioning of all blueprints for governance
  • Controlled testing environment with simulation capabilities
  • Clear separation between business logic and AI execution

Frequently Asked Questions

Why use Promptbook instead of established no-code tools?

  • True flexibility beyond drag-and-drop constraints
  • Seamless transition path from prototype to production
  • No technical debt - solutions remain maintainable as they scale
  • Designed for enterprise complexity, not just simple automations

How quickly can we implement and see results?

  • First blueprint creation: 1-2 days
  • Initial production implementation: 2-4 weeks
  • Full enterprise integration: Phased approach over 3-6 months
  • ROI typically visible within first month of deployment

Frequently Asked Questions

How does Promptbook integrate with our existing systems?

  • Platform-agnostic, API-first architecture connects to any modern system
  • Pre-built connectors for enterprise platforms
  • Custom connectors can be developed for legacy systems
  • Gradual integration approach - no "rip and replace"

✨ Let's Connect

Jiří Jahn
jiri@ptbk.io
+420 777 090 067

Pavol Hejný
pavol@ptbk.io
+420 777 759 767

<- TODO: Needs review, it seems to be too much info, Maybe "Human-first AI" is enough for the title and "Build companies where Humans Lead and AI Accelerates" is the subtitle with "Deliver Superior Results at a Fraction of the Cost" moved to the next slide

<- TODO: Make the date dynamic adds substantial overhead in MARP, sorry

Slide 1: What We Do (Clear, concise, 2 sentences) This messaging tries to create FOMO by: 1. Positioning LLMs as the inevitable new computing paradigm (not just a trend) 2. Establishing our technology as the first true enterprise solution in this new world 3. Creating a clear contrast between those who adopt (winners) and those who don't (competitors who "struggle") 4. Adding time-sensitivity with the "days, not months" comparison Implying Deloitte has a limited window to secure competitive advantage The language directly addresses Deloitte as a potential beneficiary, making the opportunity feel exclusive and timely.

You do want to have your C3PO

TODO: Be prepared to explain that we are not competition but cooperator and oportunity

TODO: Kajetán: Be prepared to answer: 1) What we have? 2) Why we want it? 3) Why is Promptbook wanted by others? 4) Why is Promptbook wanted by Deloitte?

Slide 2: Specific Example

This opening slide introduces the narrative framework

This slide establishes the relatable pain points

<- TODO: Kajetán: - Security - Controlled environment for testing

The code example makes it concrete without being too technical

This slide illustrates the cross-function application

Slide 3: Team (Only if it's a strength)

Slide 5: Unique Insights

Additional themes we might consider adding: 1. Team expertise required: Address who in the organization needs what skills to use Promptbook effectively 2. Pricing model: Enterprise customers always want to understand the cost structure 3. Support and training: What ongoing assistance is available 4. Compliance certifications: Specific standards Promptbook meets (ISO, SOC2, etc.) 5. Customization limits: What can and cannot be modified for specific enterprise needs Other suggestions?

Slide 8: Contact