AI Value Assurance
AI Value Assurance Turns Your AI Investments into Measurable, High-Return Assets.
As AI becomes agentic and embeds itself into core business processes, it stops being a technology lever. It becomes a strategic asset whose performance must be measured, governed, and controlled.
A disciplined approach to
Allocate capital strategically
Stop unprofitable use cases
Manage AI as a portfolio of assets
Defend results at the executive level
Manage AI Investments Based on Value
Structuring governance for AI
Today, AI is being funded without a clear operating model, arbitration rules, or risk controls.
Talan helps organizations establish AI governance aligned with their financial and operational requirements: initiative prioritization, arbitration rules, risk and compliance management, and clear responsibilities across Finance, IT, and business teams.
What this changes: AI moves from a series of difficult-to-manage initiatives to a managed investment portfolio. Executives have a clear framework to decide where to invest, assess commitments, and manage risks.
Build Trusted Data to Support Decision-Making
Today, the data used by AI is not reliable, standardized, or traceable enough to support financial decisions.
Talan establishes a governed and trusted data layer connecting ERP and operational systems. Quality, standardization, and traceability provide both Finance and AI with consistent, actionable information.
What this changes: Financial and operational decisions are based on reliable, auditable data, reducing uncertainty, manual rework, and the risks associated with insights that cannot be substantiated.
Structure Adoption Within Workflows
Today, deploying AI does not guarantee adoption. Tools often remain outside day-to-day processes, without clear business ownership or effective tracking of their actual use.
Talan structures AI adoption around clear business ownership, usage tracking, change management, and training. AI is integrated directly into operational workflows to become a lasting part of how teams work.
What this changes: AI moves from being an available tool to becoming a true operational lever. Its use becomes embedded in day-to-day processes and translates into concrete, measurable, and sustainable gains.
Measure and Demonstrate Real Value
Today, organizations struggle to demonstrate the real value of their AI initiatives and determine which ones should be deployed at scale.
Talan establishes a value measurement methodology that links each AI initiative to clear financial and operational indicators, from pilot through to scale.
What this changes: Investment decisions are no longer based on technological potential, but on demonstrated value. Executives can measure ROI, compare initiatives, and decide which ones to industrialize, adjust, or stop.
Link Costs to Value Generated
Today, AI and data-related spending is increasing without sufficient visibility into the value it generates, making scaling difficult to control.
Talan establishes cost management that links technology consumption to actual usage and the value generated. Control, arbitration, and continuous optimization mechanisms make it possible to identify where to invest, where to optimize, and where to reduce spending.
What this changes: Executives gain a clear view of the relationship between spending and value created. They can control costs, optimize investments, and scale AI initiatives without budget overruns.
Take Action, Talk to an Expert.
Understand before You Decide
Webinar: Secure and Monetize Your AI Initiatives
Assess your AI maturity, reduce risk, and lay the foundations for a governable, adopted, and economically defensible roadmap.
Webinar in French
Webinar: Activate Your AI Agents with Confidence
Learn how smart data governance enables reliable, controlled AI agents that deliver real value for your teams.
Webinar in French