Accelerating the path to trusted AI
Trusted AI, for us, means evidence-based trust: at every decision, from the idea to production. AI governance, pre-built in our playbooks, the interpretation of 300+ laws, standards and best practices.
From identifying opportunities to running AI in production, every decision must account for risks, compliance, performance, change and stakeholders. Under that uncertainty, decision-makers fear messing up. FOMU leads to stagnation. → Prodago enables evidence-based decisions, from AI ideas to AI oversight.
A long list of AI ideas that came from the technology rather than from your objectives, and no one able to say which ones matter.
Use cases chosen on narrative and a champion’s enthusiasm, not on evidence, because there is no basis to say no.
Dozens, sometimes hundreds of proofs of concept. Nothing in production.
Procurement that drags on because no one can state what the solution must demonstrate, or what evidence to require from the vendor.
Initiatives waiting for a green light from risk, privacy, security and legal, each asking its own questions, while teams rewrite the same documents for each.
of organizations get no measurable return from their generative AI investments.MIT NANDA, The GenAI Divide, 2025
Two things, and the combination of the two.
The pre-built interpretation of 300+ laws, standards and best practices. Requirements, templates, risks, responsibilities: already there, already structured, traceable to the source text.
Uses the playbooks to automate how governance is applied to each initiative, from the first questionnaire to production and beyond.
Automation that only playbooks make possible.
NDMO
Five automations, along the whole chain.
Automatic identification of the laws, directives, standards and internal policies that apply to an initiative, and of the requirements that follow, from a short questionnaire.
Automatic adjustment of governance intensity (the controls) to the risk impact level of the initiative: the required level, not the maximum.
Automatic production of governance plans, fully adapted to the context of each initiative: the gates, the evidence required at each one, and who produces, reviews and approves it.
Automated assessment of evidence against every requirement it serves: a graded result, traceable to the source text, from a template provided for each piece.
An end-to-end view of the AI value chain: every initiative, its gate, its evidence and what it is waiting for, so decisions are made faster and on facts.
Six places where AI decisions stall. One platform that unblocks them.
Dozens of pilots running, nothing in production. Too many POCs is often the symptom of use cases chosen on poor foundations.
ProdagoChoose the right AI use cases →The developed or purchased solution looks nice, but does it really comply with laws, regulations, standards and internal directives?
ProdagoProve that what you deliver complies →Months of back and forth because nobody can state what the solution must demonstrate, or what evidence to require from the vendor.
ProdagoSpeed up AI procurement →Which directives apply, which documents to produce, who signs: rediscovered on every project, while risk, privacy, security and legal each review in parallel.
ProdagoGovern AI project delivery →Risk and audit own the controls and the evidence attached to them. The reviews are long, the queue grows with every AI initiative, and the whole portfolio waits.
ProdagoClear the evidence review bottleneck →Published, not practiced. Interpretation of directives is complex and time consuming. Adoption is declared but cannot be measured.
ProdagoPut your frameworks into practice →Governance pre-built in playbooks and automated by the platform. Days instead of months, and fewer people in the loop of every project.
Evidence-based trust: every decision rests on evidence assessed against the source text, ready to show to your executives, your auditor and your regulator.
More initiatives reach production, because every decision along the chain actually gets made. Use, build or buy trusted AI, without the governance detour.
Since 2013, public and private organizations have relied on Prodago, through our platform and our advisory services, to govern their data and AI.
For more than a decade, I have worked with public and private organizations on the governance of their data and AI. I keep seeing the same thing: the ideas are there, the technology is there, and the value does not arrive. Decisions stall because no one can be sure that every angle is covered.
We built Prodago so that trust comes from evidence rather than opinion, and so that governance becomes what makes you move faster, not what slows you down.
Mario Cantin
Founder and CEO
Governance that is already built, automated end to end, so your AI ambition moves at the speed you intended.
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