All your company’s AI, managed from one place.
Every use case, its models and tools, what it costs and what it delivers—in plain sight. The evidence you need to decide where to invest, what to scale and what to stop. With the blynt Framework, we turn those decisions into action: organizing your processes, implementing improvements alongside your team and measuring their impact, case by case.
Every use case, its cost and its results in plain sight. With the blynt Framework, we turn those decisions into action, case by case.
Method to decide. Team to build. Platform to measure.
What has improved? From AI adoption to Enterprise AI Capability
Start with one use case and end with a capability that outlives the next model.
Illustrative 3D animation with music and effects (no voiceover) and built-in captions. Figures are synthetic.
Read the video script
- An enterprise AI capability is built piece by piece.
- Enterprise Context Layer. The common base: your context, your data, your rules.
- AI Engineering. Integrate AI into real work, with human review.
- Models & Tools. Select technology and evaluate its performance.
- Governance & Security. Authorized data, permissions, accountability and traceability.
- People & Skills. Roles, practical skills, champions and adoption.
- Measurement & Improvement. Measure to decide what to continue, improve or stop.
- Start with one use case. One concrete piece, with a measured baseline. On screen, a sample (synthetic) use case canvas: incoming document review, from 20 min to a projected 12 min per document.
- Then, the next one. Each use case strengthens the same base.
- A new model next year? Swap the piece. The capability stays standing.
- Enterprise AI Capability. Start with one use case. Build an enterprise capability. Value pilot.
A company buys AI licenses for all its employees. Six months later, leadership asks: “What has improved?”
Nobody can answer.
With blynt, the company starts with one well-measured use case. Six months later, the same question.
And this time, there is an answer.
We do not sell today’s tool. We build the capability to adopt tomorrow’s.
Models and tools will continue to change every quarter. What endures is a common foundation and five pillars on which every use case builds.
AI Engineering
Integrate AI into real work, connecting processes, information, systems and human review.
Models & Tools
Select technology, evaluate its performance and ensure it remains fit for purpose.
Governance & Security
Define authorized data, permissions, accountability, controls and traceability.
People & Skills
Develop roles, practical skills, champions and adoption.
Measurement & Improvement
Measure quality, time, costs and outcomes to decide what to continue, improve or stop.
Enterprise Context Layer
The common foundation: your organization’s operational memory, bringing together processes, data, rules, documents, roles and decisions.
Models change. This foundation and these pillars do not.
Read the framework: the six-step cycle, the blynt Score and blynt Maturity. Explore the framework →
AI adoption is widespread. The foundations to sustain it are not.
Surveys published in 2026 point to the same gaps: scale, return, cost and dependence.
scale agentic AI in key functions, although 59% already use it.
are rethinking their approach because of token costs; 82% are concerned about them.
Self-reported responses from different surveys and populations; they are not comparable with each other. EY: US executives. ServiceNow: a vendor survey. These surveys do not demonstrate the effectiveness of blynt’s work.
+40% of agentic AI projects will be canceled before 2028, according to a Gartner projection. Gartner · press release, June 2025. A forecast, not a fact.
Acquiring a tool is straightforward. Building a capability around it takes a method.
Four stages, applied in focused cycles
Each engagement centers on a real use case and concludes with a decision based on evidence.
Assess
Understand the process and the organization’s current capabilities.
Design
Define the improvement and the criteria for success.
Enable
Implement the solution and prepare the team to use it.
Evolve
Review operations and refine the solution based on evidence.
A first project in 90 days
- Month 1Initial measurement and design: one team, one process and agreed success criteria.
- Month 2Testing and delivery: a focused solution, applied training and a comparison of results.
- Month 3Adoption and review: results are recorded and the organization decides whether to expand, adjust or stop.
What we need from you: a process owner, a technical counterpart and access to the information for the case.
How we will know it works: a success criterion agreed and signed by you before we start.
Indicative timeline and scope. This is not a commitment or a guarantee of production within 90 days; it depends on agreed feasibility and scope, permissions, data and client availability.
Every impact figure requires evidence
- Projection. What could happen if the volume and usage assumptions hold.
- Operational result. What the recorded volume, quality and times show.
- Released capacity. Time freed for other work, with an explicit valuation.
- Financial savings. An amount supported by sources and a signed client statement.
Released time does not become a financial saving until it is evidenced.
Want to see it applied to a real case?
Request a demoWe start with a pilot. Then we grow with you.
The blynt platform is available today. The first step is a focused pilot on a real use case: in about 90 days you know what AI delivers in that process and what to do next.
How the value pilot works
- We choose the case. A process that matters, an owner who can make decisions and agreed success criteria.
- We measure the starting point. Time, quality and cost of the current process, recorded in the platform.
- We improve it with AI. We test models and tools on your case and compare results with the blynt Score.
- We validate with your team. People review and approve; we measure before and after.
- You decide with data. Scale, adjust or stop, with a PDF report ready for leadership.
Duration and scope are indicative and agreed at the start for each case.
The blynt platform
- Use-case journey. Guides each case from definition and initial measurement through analysis, improvement, validation and impact.
- Score and Maturity. Score assesses the performance of each test; Maturity tracks capabilities by team and pillar, with a maturity path for each team.
- Atlas. A map of the organization: contexts, owners and people, in one place.
- Results for leadership. Results summarized in a PDF ready for leadership.
- Enterprise view. Every AI use case in one place: models and tools, costs, results and approvals.
- People decide. The client approves the starting point, the decisions and the operating months.
Advanced options, once the pilot works
Now available: Enterprise Context, the organization’s shared operational memory. Coming soon: blynt Runner.
The platform records tests, decisions and results. It does not autonomously run or monitor the client’s agent.
See a complete use case in 30 minutes
We walk you through the full journey of a use case with sample data: initial measurement, analysis, improvement, validation and impact. Bring a process you have in mind and we will tell you whether it is a good first use case and what we would measure.