Completed workflows
8 weeks+40%
example weekly change
AI PRODUCT & TRANSFORMATION PARTNER
Turn operational friction into AI products.
We identify the highest-value AI opportunities, redesign the workflows, and build the products, agents, and systems required from strategy to scale.
Buying tools is not transformation. Value appears when the right business problem is selected, the system fits the real workflow, and adoption is designed as part of the product.
THE INVESTMENT EXISTS. WHERE IS THE IMPACT?
AI experiments are multiplying. Measurable business impact is not keeping pace.
Pilot outside real work
It reaches only part ofthe real cases and exceptions.
Pilot tested in real work
Real cases and exceptionsare tested in the workflow.
New tool outside the flow
The tool adds another stepto the existing workflow.
Product inside the flow
The product replaces a stepinside the existing workflow.
Production path unclear
Success, data, and ownershipare not defined upfront.
Production path defined
Success, data, and ownershipare clear before the pilot.
WHERE SHOULD WE START?
Choose the right starting point for your needs.
How TYPE-OF works with you
*example view · not customer data
AI product portfolio
Current status- Proposal draftingIn daily use
- Document processingIn daily use
- Risk reviewIn human review
- Knowledge assistantBeing validated
01Discovery Identify the right AI opportunity.
Map the workflows, data readiness, and impact potential together.
02Product Build a working AI product.
Move the product into production around real users, systems, data, and security requirements.
03Daily use Make the AI product part of daily work.
Establish lasting daily use through role-based design, measurement, and continuous product improvement.
THREE STAGES, ONE TEAM
Choose the right opportunity. Build the working product. Make it part of daily work.
Focus on the right problem.
We assess business value, feasibility, risk, and dependencies to identify the first opportunity worth investing in.
Build a product that works in practice.
We design, develop, integrate, and ship the product around real users, systems, data, and security boundaries.
Make the product part of daily work.
Through role-based use, leadership ownership, measurement, and feedback, we make the product a durable part of daily work and expand the workflows that prove useful.
DELIVERY METHOD
Reduce uncertainty in the right order.
- 01Map
Understand how work is actually performed, where time is lost, and which systems and data are involved.
- 02Prioritize
Rank opportunities by business impact, feasibility, data readiness, integration complexity, and risk.
- 03Prove
Test critical assumptions using the right evidence: a clickable prototype, technical validation, or controlled pilot.
- 04Build
Develop the product around actual users, systems, constraints, and security requirements.
- 05Embed
Integrate the product into day-to-day work and support safe, confident adoption.
- 06Compound
Measure usage and outcomes, improve the system, and extend it into additional workflows.
One team. Clear ownership. The right expertise for the work.
TYPE-OF owns product decisions and delivery end to end. Technical and creative specialists join the same team as the work requires.
Product strategy
Service design
UX/UI
Technical direction
Delivery leadership
Full-stack
Mobile
Backend
LLM/agent
RAG
Data
Cloud
Security
Use design
SECURITY BY DESIGN
Security is not a checklist added after the pilot.
We design data need, access boundaries, human approval, and model-provider choices alongside the product.
PROBLEMS
What people fear about AI inside the company
- Shadow use
- Data leaving to the provider
- Fabricated output
- Excess privilege
- Decisions with no trace
TYPE-OF
Six decisions that answer both.
- Least privilege and role-based access
- Audit trails and controlled logging
- Data retention and deletion rules
- Human approval and guardrails
- Model-provider and deployment controls
- NDA and data-processing requirement analysis
REQUIREMENTS
What security and legal ask for
- Access management
- Auditability
- Data residency
- Vendor review
- Incident response
Security is not added afterwards. How far the system can reach, what gets logged, and who approves are settled in the product's first draft.
AI OPPORTUNITY ASSESSMENT
Identify the first workflow to validate and its safe starting path.
The two-stage assessment examines business value, feasibility, adoption readiness, risk, and evidence confidence separately. No contact information is required for the full decision report.
Start the assessment
Two adaptive stages · Full decision report
AI GUIDES
How do AI products work in the real world?
From opportunity selection to production, human oversight to measurement, each guide turns one difficult decision into practical rules.
FROM PILOT TO PRODUCTION
Why enterprise AI pilots stall before production
Pilots rarely stall on the model; they stall on workflow reality, unowned decisions, and a production path nobody drew in advance.
5 minOPPORTUNITY SELECTION
How to choose the first AI workflow
Choose the workflow with the strongest balance of value, feasibility, and organizational learning—not the loudest idea.
6 minHUMAN OVERSIGHT
Where human approval belongs in agentic workflows
Not at every step—at thresholds defined by error cost, uncertainty, and reversibility.
5 min