Your business is already telling you what needs attention. Adi Opera helps you hear it.
Connect your CRM, support, finance, product, and supply-chain data. Adi Opera brings the signals together and helps leadership teams identify risk, understand performance, and decide what to do next.
Three accounts represent concentrated renewal risk
Support escalations, declining product usage, and upcoming renewal dates point to a combined retention risk requiring executive attention.
Your company has dashboards. What it often lacks is a joined-up answer.
Operational data is spread across teams and tools. By the time leadership gets a consolidated view, the decision may already be late.
Signals remain trapped in functions
Sales, support, finance, product, and operations each see part of the story.
Dashboards report; they do not synthesize
Metrics are visible, but their relationships, implications, and priority are not always clear.
Leadership discovers problems too late
Churn, burn, delivery risk, and stalled growth often become obvious only after the cost has increased.
From fragmented business intelligence to decision intelligence
Adi Opera is designed to connect business context across functions—not simply place another chatbot on top of one system.
Shows what happened
- ×Multiple dashboards and filters
- ×Manual interpretation across teams
- ×Insights often stop at the metric
- ×Priority depends on who is presenting
Connects what happened, why it matters, and what to examine next
- ✓Cross-functional questions in plain English
- ✓Synthesized responses across approved sources
- ✓Claims linked back to underlying data
- ✓Risks and actions organized around business goals
Questions leadership teams already ask every week
The product becomes relevant when it shortens the distance between a business question and a defensible next action.
Customer & renewal risk
Which accounts are most likely to churn, what signals support that view, and where should leadership intervene?
Runway & cash decisions
What is affecting burn, how would planned hiring change runway, and which assumptions require attention?
Service breakdowns
Which escalations are commercially important, where are SLAs slipping, and what patterns are repeating?
Product adoption
Which features correlate with retention, where is usage falling, and which customer segments are disengaging?
Operational exposure
Where are inventory, supplier, fulfilment, or purchase-order risks likely to affect revenue or customer delivery?
Growth priorities
Which segments deserve focus now, given market potential, sales capacity, customer fit, and available runway?
Connect. Analyze. Ask. Act.
The pilot is built around a focused set of approved data sources and agreed business questions—not an unrestricted promise to understand everything.
Map the decision problem
Agree the leadership questions, business goal, data sources, access boundaries, and expected pilot outcomes.
Connect approved sources
Use supported integrations, APIs, or structured uploads depending on what is available for the pilot.
Test against reality
Compare outputs with known business conditions, refine thresholds, and measure whether decisions improve.
Risk Analyst
Churn, renewal, revenue concentration, and escalation signals.
Service Ops
Ticket health, SLA patterns, escalations, and team capacity.
Product Intel
Adoption, engagement, friction, and customer usage patterns.
Finance Intel
Runway, burn, recurring revenue, and scenario analysis.
Materials & Supply
Inventory exposure, vendor performance, orders, and stock risk.
Growth Strategy
Segment opportunities, expansion choices, and ranked growth hypotheses.
Vision & Goals
Connects recommendations to the business goal chosen for the pilot.
Best suited to companies with enough operating complexity—and enough willingness to collaborate
The pilot is not intended for every company. Clear fit criteria improve the quality of the engagement and the usefulness of the results.
Likely a good fit
- ✓Leadership relies on several business systems or structured spreadsheets
- ✓Important decisions require inputs from multiple functions
- ✓The company can identify two or three high-value pilot questions
- ✓Relevant owners can participate in onboarding and weekly validation
- ✓There is sufficient historical or live data to evaluate outputs
Probably not the right fit yet
- ×The business is still at idea stage with little operating data
- ×Most information is offline, unstructured, or unavailable
- ×The requirement is only for a general-purpose chatbot
- ×No internal owner can validate outputs or provide feedback
- ×The expectation is a fully autonomous operating system from day one
Show the working product—not just the promise
This area should be replaced with actual product screenshots or a concise recorded walkthrough before public launch.
60–90 second product walkthrough
Demonstrate one real leadership question from input to sourced response: the connected systems, the cross-functional analysis, the evidence, and the recommended next step.
Designed around controlled access and transparent evaluation
Security statements should match the actual pilot architecture, legal agreements, and operational controls before they are published.
Approved access only
Limit the pilot to the specific sources and fields agreed during onboarding.
Read-only where possible
Use least-privilege access and avoid unnecessary write permissions.
Tenant isolation
Keep each pilot customer’s data and environment logically separated.
Exit & deletion process
Define export, retention, and deletion commitments in the governing agreement.
A structured three-month evaluation on real business questions
The objective is to determine whether Adi Opera can produce trusted, useful, and repeatable decision support in your operating environment. The pilot program is currently in development — details below reflect the planned structure.
Scope & data mapping
Select the use cases, approved sources, access controls, stakeholders, and success measures.
Validation & tuning
Test outputs against known conditions and refine scoring, thresholds, language, and traceability.
Live pilot usage
Use the platform on agreed recurring decisions and document usefulness, accuracy, and adoption.
Outcome & next-step decision
Review evidence together and decide whether to conclude, extend, or move toward a commercial engagement.
What the design partner contributes
- An executive sponsor and working owner
- Access to approved, relevant data sources
- Weekly validation and candid feedback
- Clear definitions of useful and inaccurate outputs
What should be measured
- Accuracy and traceability of responses
- Time saved in gathering and interpreting information
- Usefulness of priorities and recommended actions
- Whether the product changes or improves real decisions
Pilot applications aren’t open yet
We’re finalizing the structure, data-access model, and onboarding process for the design-partner cohort. Here’s what to expect once applications open.
- ✓ Three-month design-partner pilot
- ✓ Focused use cases and approved data sources
- ✓ Dedicated onboarding and validation process
- ✓ No obligation to purchase
In development
The design-partner pilot is currently being finalized. Check back soon, or reach out directly if you’d like to be notified when applications open.
Get notified