See Sapio at work
An explanatory product flow from company understanding to chosen work, research, a report, follow-on actions and reviewed learning. Product images show individual surfaces rather than one executed customer case.
Company picture, Movement, Assessment and Research overview
Sapio generates the connected portrait, compares dated snapshots and assesses relevant evidence with confidence and gaps.
Goal and prepared task
Start from a goal, question, opportunity, company area, assessment, signal or prepared role task. Sapio proposes the next work and preserves a compact working note.
Research, analysis and report
Configured flows investigate the question with company context and accessible evidence, then produce editable, reusable decision material.
Follow-on work and supported execution
Sapio proposes owners, instructions, source links and related work, then uses enabled tools and workflows for approved actions.
Reviewed learning and the next cycle
Working context continues across pages; durable facts are proposed separately through DNA Review and configured monitors bring change into the next cycle.
A costly deep analysis can deliver higher quality — and lower total AI consumption.
Invest more in the quality of the foundation and let the whole company build on it. The cost of the groundwork is spread across many uses, while people avoid repeating the same research.
With Sapio, you first invest in a deep foundational analysis: company context, multiple AI engines, source checks and critical review. Teams then build their decisions, marketing plans, proposals and budgets on the same evidence. New research is added where it contributes.
A salesperson preparing an offer for an environmentally focused customer can draw on the company's approved environmental strengths through relevant Company DNA, even if they did not know those strengths themselves. Research remains supporting material; proposed durable facts become Company DNA only after approval.
More room for quality: A shared foundation makes deeper research, comparisons and critical review economical across many uses.
Less repeated work: People spend less time rebuilding context; AI can focus its next research on the gaps.
A consistent starting point: Teams can work from the same evidence and leadership-approved company facts, with access boundaries preserved.
Knowledge that keeps its value: Saved reports, sources and approved learning support handovers, new colleagues and later decisions.
From insight to action: Build plans, scenarios and implementation tasks from relevant evidence; use enabled workflows and approved agent briefs to continue.
A foundation that can evolve: Configured monitoring reveals changes to investigate, so relevant parts can be reviewed and updated.
Illustrative calculation · not measured customer savings
Assume one independent task uses 1 consumption unit. A deep foundation uses 20, updates use 5 and each follow-up uses 0.25: 20 + 5 + (100 × 0.25) = 50, compared with 100. These are illustrative comparable consumption units, not token counts, prices or an ROI promise.
The benefit depends on relevant reuse and current evidence. New questions can need new research; the whole report is not loaded into every answer. Model mix, tool charges, platform fees and existing subscriptions must be assessed separately. Shared errors must also be corrected at the source.
Sapio's value: do the shared groundwork thoroughly and let the whole company benefit from the investment. A ready-made way of working with company context, deep analysis, reusable reports and leadership-approved Company DNA.
A clear brief before an agent starts
Review the owner, instructions, source and any stated deliverable or acceptance criteria. Missing details stay visible so the team can resolve them.
Connected agents work from the approved brief. Your team can follow progress and review the returned result alongside its sources. If the brief changes, the work must use the updated instructions.
Choose which connected tools may read
The account owner chooses which connected information Sapio may read automatically. Access is reviewed before it is used.
Permission to read does not give permission to change your systems. Your team keeps control of approved access and can withdraw it.
Compare two creative directions
Give A/B Studio a brief, brand context and one variable to test. Generate two images, review them side by side and save the images with a versioned experiment record in the Library.
Record a human preference and optional observations with dates and a source. Entered measurements remain user-reported; a preferred image does not establish business lift or update Company DNA.