Thiga

Build trusted AI products that reach production, deliver user and business value, and remain reliable as models and data evolve.

Move from user problems and ideas to credible prototypes and production-ready products faster, with AI-augmented teams and delivery practices.

Helps organizations adapt their operating models to AI so teams can build and deploy products with greater speed, autonomy, and enterprise guardrails.

Redesign workflows around AI to reduce low-value tasks, accelerate operations, and equip teams to manage and build their own automations.

Add experienced Product and Tech expertise to your teams immediately, helping them run discovery, deliver features, and address capability gaps.

Helps organizations create coherent, user-centered product experiences and make Design a strategic contributor to business outcomes.

Aligns product direction and investment with business goals, helping teams identify opportunities, launch products effectively, and steer portfolios toward measurable strategic outcomes.

Build secure, scalable, and maintainable product foundations that align technical decisions with business priorities.

Helps professionals and teams build practical Product, leadership, design, and AI skills through training informed by Thiga’s field experience.

Measure Product organization maturity quickly and identify key growth levers to guide improvement.

Helps product teams build user-focused roadmaps and keep them on track throughout delivery.

Use practical templates to navigate the double diamond process from exploration through experimentation.

Helps teams evaluate AI features across user experience and business impact, beyond technical performance.

Monitor token usage and keep AI stack costs under control with an open-source tracker.

Craft AI Products

Thiga helps organizations design, build, and scale AI-powered products by starting with user problems and identifying where AI can create real value. The service brings Product teams together with data scientists, ML engineers, and evaluation specialists to balance model performance, user experience, infrastructure costs, and time to market. It covers non-deterministic experience design, ongoing evaluation and monitoring, and the architecture and engineering needed to move AI products from prototype to production. Its AI Product Canvas helps teams frame initiatives and assess where AI can create real value.

Category: AI Development Services

• Build User Trust In AI
  Help users understand AI behavior and maintain trust through explainability, clear communication of uncertainty, user control, and graceful failure.
• Monitor And Improve AI Quality
  Keep AI products reliable after launch by evaluating model quality, detecting drift, and using user feedback to inform retraining and evaluation datasets.
• Find Valuable AI Opportunities
  Focus AI initiatives on user problems and product opportunities where AI can create real value, using structured questions to make decisions before investing.
• Balance Product And Model Tradeoffs
  Make informed decisions about where to invest effort by weighing model improvements against user experience, data enrichment, infrastructure costs, and time to market.
• Move AI Products Into Production
  Turn AI prototypes into production products with architecture and engineering standards suited to deployment, reliability, and scale.
• Align Product And AI Specialists
  Coordinate the distinct expertise and priorities needed to build AI products, with shared ownership across Product, data science, machine learning, and evaluation.
• Control Ongoing AI Costs
  Manage product costs through ongoing decisions about model selection and inference, alongside product performance and user experience.

Product Builders

Thiga provides AI-augmented Product Builders who use agentic coding to move from user problems and ideas to prototypes and production-ready products. Clients can embed Product Builders in existing teams, commission a dedicated squad to own a new product end to end, or receive coaching to adapt existing teams to the AI-SDLC. Product Builders work within a client-specific operating system that combines AI-native coding tools, custom skills encoding enterprise standards, and business context. Their work brings together Product, Design, and Tech expertise, with attention to architecture, security, and production quality.

• Turn Ideas Into Credible Prototypes
  Give stakeholders a concrete deliverable to assess rather than relying on intentions alone. Prototypes help teams distinguish promising ideas from weaker ones and accelerate time to decision.
• Carry Products From Problem To Production
  Keep product understanding and responsibility connected across discovery, delivery, and production, with a team accountable for the solution and its impact.
• Build New Products With A Dedicated Squad
  Commission a small, complementary team to take responsibility for a new product from initial work through production, with delivery aligned to organizational standards.
• Equip Builders With A Tailored Operating System
  Provide Product Builders with coding tools, reusable skills, and organizational context configured for the client's environment, supporting work that fits its business and technical standards.
• Apply Enterprise Standards Automatically
  Help ensure that generated code and agent outputs follow the client's defined standards, while maintaining reusable skills that can evolve with the organization.
• Strengthen Existing Product Teams
  Add Product Builder capacity to an established team while keeping work aligned with the client's stack and ways of working.
• Adapt Existing Teams To AI
  Help established teams change how they work to incorporate Product Builders and AI into their software development lifecycle while building on their existing organization.
• Focus Work On Valuable Product Decisions
  Pair faster AI-assisted building with product judgment to prioritize ideas and make informed choices about when a solution is ready to ship.
• Combine Complementary Product Expertise
  Bring Product, Design, and Tech perspectives together in a collaborative team, including the technical expertise needed to turn prototypes into stable products.

Product Operating Model AI (POM-AI)

Thiga helps organizations redesign their Product Operating Model to capture the potential of AI. The service assesses Product maturity and supports transformation across team structures, the Product Builder operating system, platform and agentic engineering, AI governance, and AI-native Product culture. It can evolve an existing Product Operating Model or help build one from scratch, connecting strategy to execution across the Product lifecycle.

• Enable Guardrailed Self-Service Delivery
  Provides a structured route from code to deployment with automated security, compliance, and testing controls, while enabling agentic systems to automate defined complex workflows.
• Assess Maturity And Define A Transformation Path
  Gives organizations a clear view of their current Product maturity and helps qualify the steps needed to evolve their operating model.
• Apply Enterprise Standards Automatically
  Turns organizational standards into executable skills that AI can apply, helping Product Builders produce work aligned with the company's requirements.
• Govern AI Use At Enterprise Scale
  Establishes rules for models, data, costs, and responsible AI so teams can operate with autonomy within organizational guardrails.
• Equip Teams To Work Across The Product Lifecycle
  Helps teams preserve context across discovery, delivery, and production, with Product Builders working across the full chain and taking responsibility for the impact of their solutions.
• Build AI-Native Product Practices
  Develops shared working habits and understanding of AI through experimentation, prototyping, and prompt engineering, supporting a lasting organizational transformation.
• Move From Hypothesis To Production Faster
  Combines discovery and delivery into a continuous loop, helping teams move ideas into production in days instead of waiting through multiple sprints.
• Build Across Cloud And Technology Options
  Supports an agentic architecture across open-source and major cloud environments, with security and observability included across the stack.

AI for Business Efficiency

Thiga helps organizations redesign business operations around AI. Its consultants audit how teams work, assess tasks for automation, and map opportunities by effort and impact. They advise on whether to build custom agents or use existing software, revisiting those decisions as AI capabilities and market tools evolve. Working embedded with client teams, they build agents, internal tools, and workflow automations on the client’s technology stack, while training teams and establishing monitoring and governance so they can manage and extend their automations.

• Redesign Workflows Around AI
  Reconsider workflows from the ground up to identify how AI can change the way work is done and whether teams need to be involved in particular processes.
• Prioritize High-Impact Automation Opportunities
  Compare automation opportunities by effort and impact, and match each task to an appropriate solution, whether an existing tool or a custom build.
• Build Custom Agents And Automations
  Develop agents, internal tools, and workflow automations on the client’s existing technology stack to address the opportunities identified during the workflow assessment.
• Choose The Right Build-Or-Buy Approach
  Make informed build-versus-buy decisions for automation opportunities and revisit them as available tools and AI capabilities change.
• Enable Teams To Build Their Own Automations
  Develop team capability to use AI, manage existing automations, and build the next ones independently, so the knowledge gained through the engagement stays with the team.
• Monitor And Govern AI Automations
  Establish monitoring and governance that help teams manage automations and support AI agent deployments, including at organizational scale.

Embedded Product & Tech Experts

Thiga embeds senior Product and Tech practitioners in client teams, from Product Managers, Designers and Product Leaders to AI Product Ops Specialists, Tech Leads and Solution Architects. Experts can run discovery, manage roadmaps, ship features, and align stakeholders, bringing strategic depth and operational discipline from their first sprint. Consultants are AI-augmented and supported by continuous Thiga Academy training, a community of 200+ practitioners, and methods developed across more than 300 organizations.

• Add Senior Expertise From Day One
  Bring experienced practitioners into teams without waiting for the perfect hire. Consultants are prepared to operate immediately in a new context and contribute from their first sprint.
• Cover Product And Tech Capability Gaps
  Select from a range of specialist profiles to strengthen teams where expertise is needed, including Product management, Design, user research, data, AI operations, engineering leadership, and architecture.
• Move From Discovery To Delivery
  Add practitioners who can carry work through multiple stages of the Product lifecycle, including discovery, roadmap ownership, prioritization, feature delivery, and stakeholder alignment.
• Apply AI Across Product Work
  Consultants bring AI fluency to relevant parts of their work, from research synthesis and prototyping to Product operations and agent building.
• Draw On Training And Peer Expertise
  Embedded consultants can draw on continuous Thiga Academy training, a community of more than 200 Product and Tech practitioners, and methods refined through work across more than 300 organizations.
• Select For Adaptability And Product Judgment
  Consultants are selected for their Product judgment, curiosity, and ability to adapt and deliver in new contexts, in addition to technical skills and domain expertise.

Product Experience & Design

Thiga helps organizations make Product Design a strategic capability, connecting user understanding with Product decisions and business goals. Its services span customer research, UX strategy, design and prototyping, Design Systems at scale, and design for AI products. Thiga also helps structure DesignOps and cross-functional collaboration so teams can deliver coherent experiences across products.

• Ground Product Decisions In User Evidence
  Build a deeper understanding of user needs and behavior, then use synthesized research and data to guide decisions that serve users and the business.
• Create Coherent Experiences Across Products
  Help teams maintain a consistent overall customer experience as they design multiple products, using journey mapping, shared governance, and AI experience guidelines.
• Scale Coherent Design Across Teams
  Give teams shared design infrastructure, standards, and contribution practices so they can deliver consistent product experiences across products and features.
• Test Alternatives Before Choosing A Solution
  Explore and validate possible solutions through prototyping, helping teams select experiences that balance user appeal, usability, and viability.
• Build Trust Into AI Interactions
  Help users understand and navigate AI experiences by addressing uncertainty, explaining product suggestions, and providing considered responses when the product makes errors.
• Embed Design Into Organizational Ways Of Working
  Establish shared practices and cross-functional collaboration that help Design teams contribute effectively as the organization and its product work scale.

Business & Product Strategy

Thiga helps executives and Product leaders translate company vision and strategy into Product strategy that serves business goals. Services include value-prioritized roadmaps and investment sequencing, continuous innovation and opportunity assessment, Go-to-Market and positioning, value-driven portfolio governance, and AI-augmented strategic analysis. Thiga also aligns cross-functional teams and establishes governance and clear decision rights so strategy can be executed across the organization.

• Align Product Investments With Business Goals
  Turn company strategy into prioritized Product roadmaps and sequenced investments, giving leadership teams a clear basis for directing Product work toward business goals.
• Align Teams Around A Shared Strategy
  Give teams across the organization a shared direction, reducing the risk of groups pulling in opposing directions and helping strategy reach operational teams.
• Steer Portfolios Toward Measurable Strategic Outcomes
  Focus portfolio decisions and investment on strategic outcomes, using relevant KPIs and clear decision rights to support faster decisions and alignment from leadership to delivery teams.
• Identify And Prioritize Growth Opportunities
  Establish a repeatable approach to assessing opportunities and deciding which to pursue, scale, or stop, rather than relying on one-off innovation initiatives.
• Prepare Products For Successful Market Launches
  Coordinate Product, Marketing, and Sales around positioning, pricing, and launch strategy before release, with the aim of putting products in the hands of their target customers.
• Accelerate Strategic Analysis With AI Agents
  Use AI agents during discovery and decision-making to speed up analysis and identify potential business models and opportunities beyond those surfaced by conventional approaches.

Tech & Architecture

Thiga advises technology leaders on architectural and technological decisions and helps engineering teams strengthen their standards. Services span software engineering strategy, system architecture, cloud transformation, platform engineering, observability, legacy modernization, and AI engineering. Thiga can assess delivery performance and technical health, develop a roadmap, provide ongoing advice, or embed technical coaches within teams. Its work aims to connect engineering effort to business and user impact while supporting secure, reliable products that can evolve and scale.

• Design Resilient Systems That Scale
  Establish architectural foundations that account for scalability and resilience and help teams make technical choices with future product evolution in view.
• Align Technical Investments With Product Ambitions
  Connect product ambitions to technical choices, investment sequencing, and roadmaps, helping Product and Engineering leaders make informed tradeoffs.
• Help Teams Ship Independently And Safely
  Provide internal platforms, tools, and self-service paths that support independent delivery while making quality practices easier to adopt across teams.
• Align Cloud Decisions With Business Needs
  Plan cloud migration, optimize multi-cloud environments, or evaluate sovereign infrastructure while considering application modernization, cost, and environmental impact.
• Improve Visibility Into Live Products
  Use observability and data practices to help teams understand system behavior, track costs, establish reliable data foundations, and monitor AI model quality.
• Modernize Systems At An Absorbable Pace
  Identify practical ways to evolve legacy systems and reduce technical debt without requiring the business to stop while modernization takes place.
• Move AI Systems From Experiments To Production
  Support the technical design and evaluation of AI systems and establish governance and guardrails to help keep them reliable once live.
• Assess Technical Health And Plan Next Steps
  Give technical leaders a view of delivery performance and engineering health, then define a roadmap for progressing from current conditions toward required architecture.
• Strengthen Engineering Standards In Teams
  Add technical coaching within teams to reinforce engineering practices and support delivery while maintaining reliability.

Thiga Academy training

Thiga Academy provides training for professionals and organizations across Product Management, Product Design, Product leadership, and AI. Since 2014, it has trained more than 11,000 professionals across Europe. Programs range from foundational Product Management to advanced AI strategy and include courses on Product vision, strategy, roadmaps, AI product management, AI-assisted design, and workflow automation. Thiga reports delivering more than 100 training sessions per year, with a 91% satisfaction rate.

• Strengthen Product Strategy Skills
  Participants can learn to connect Product vision and strategic objectives to roadmaps, OKRs, and investment decisions.
• Apply AI To Product And Business
  Participants learn to assess AI opportunities in Product work or across their business and identify practical next steps.
• Build AI Workflows And Agents
  Participants can develop practical skills for creating workflows, assistants, and agents, including hands-on work connected to their own use cases.
• Improve Product Design Practice
  Participants can develop Product Design skills and learn approaches for AI-augmented design, Design Systems, and advanced Figma use.
• Amplify Executive Product Leadership
  Executives can build their ability to use Product as a growth lever and increase their impact within their organizations through a programme delivered with INSEAD.
• Learn Through An Established Academy
  The Academy’s reported training history, European reach, annual session volume, and satisfaction rate provide evidence of its experience delivering professional training.
• Learn From Product Practitioners
  Participants learn through programs informed by Thiga’s field experience and, in some cases, taught by practitioners who work in Product and AI.
• Choose A Suitable Training Format
  The listed private and public options, along with different course durations, give learners and organizations choices when selecting training.

Product Operating Model Assessment

POMA is a tool for measuring the maturity of a Product organization in minutes and identifying its key growth levers.

• Reveal Product Growth Priorities
  The assessment helps organizations understand their Product maturity and identify key growth levers, giving them a focused basis for improvement.

Product Management Toolkit

A toolkit of 14 templates to help product teams create the right roadmap for their users and monitor and consolidate it through delivery phases.

• Create User-Focused Roadmaps
  The templates help product teams shape roadmaps around their users’ needs.
• Track And Consolidate Roadmaps
  Teams can use the templates to monitor and consolidate their roadmap as delivery progresses.

Product Design Toolkit

Thiga’s Product Design Toolkit is a collection of 15 templates used daily by its Design team. The templates guide Product Designers through every phase of the double diamond process, from exploration to experimentation.

• Navigate Every Design Phase
  Use a set of 15 templates to guide Product Design work through the double diamond process, from exploration to experimentation.

AI Feature UX Evaluation Framework

A comprehensive framework for evaluating AI features beyond technical performance. It measures usability, user perception, and direct business impact.

• Assess Feature Usability
  Evaluate the usability of AI features, extending assessment beyond technical performance.
• Measure User Perception
  Assess how users perceive AI features as one dimension of their evaluation, alongside usability and business impact.
• Measure Business Impact
  Evaluate the direct business impact of AI features alongside usability and user perception, beyond technical performance.

Tokstat

Tokstat is an open-source token consumption tracker built by Thiga engineers. It helps users monitor token usage and keep AI stack costs under control.

• Monitor Token Usage
  Track token consumption to see usage across your AI stack.
• Control AI Stack Costs
  Monitor token consumption to help keep costs associated with your AI stack under control.
• Use An Open-Source Tracker
  Access Tokstat as an open-source token consumption tracker.