Revenue grows, but profit does not
Which products, customers and costs affect the result?
Ask about sales, profit, payments and team activity. Get answers from company data, with calculations and sources.
Start with one task and selected data sources.
Why is revenue growing while profit is falling?
System answerRevenue increased from 100,000 to 120,000 GEL, but costs rose from 80,000 to 104,000 GEL. Profit therefore fell from 20,000 to 16,000 GEL. These figures show the change; its causes need a separate check.
Which products, customers and costs affect the result?
Who reduced purchases, and what has the account manager done?
Where does work get stuck, and which manual tasks can be removed?
Which data and calculation rules explain the difference?
Choose a sample question and explore a prepared answer. This demonstrates the approach; it is not connected to live systems or AI.
We help turn an answer into team action: define next steps, owners and notification rules.
“Which regular customers have reduced their purchases compared with the previous period?”
It compares sales by customer, product and period, showing amounts, account managers and source records.
Review a customer group, order history or overdue payments. The data shows the decline; the team and customers help establish its cause.
Account managers contact selected customers, clarify the situation and record the next steps. Where needed, we configure task handover to CRM.
We define which decline needs attention, how often to check and who to notify. We review the outcome of the actions and adjust the process.
Questions, calculations and alerts are configured for your task. Creating CRM tasks is a separate integration when the team needs it.
How we approach typical business tasks. Real projects are shared with client permission.
A regular customer buys less, but the change disappears in total revenue. We compare purchases by customer and product, show the changes and account owners. After checking the causes, we configure alerts so the manager can respond sooner.
A product sells well, but discounts, delivery and returns erode the return. We connect sales with attributable costs and show the calculation by product and channel. Profitability checks follow the rules you choose.
High occupancy can hide the difference between direct bookings and platform sales. We compare actual revenue, commissions, cancellations and available costs so managers can review channels and rates on a clear basis.
Supplier prices or delivery costs rise while sales continue on old terms. We connect purchasing and delivery costs with selling prices, identify affected products and orders and notify owners when selected limits are crossed.
People stay busy while deadlines slip. We compare tasks, deadlines, handovers and available time records. With the team, we identify repeated entry, unnecessary approvals and uneven workload, remove suitable routine work and check whether core work becomes easier.
Extra work and costs accumulate during delivery, while the result only becomes clear at the end. We connect budgets, tasks, costs and scope changes, show deviations and configure checks for responsible staff during the project.
Start with one process or department. We identify what gets in the way, then test improvements in daily work.
We discuss what slows work down: answers that take too long to compile, delays and problems you discover too late. Together, we choose where to start.
We speak with managers and employees, review the workflow and check the relevant sources. We identify process changes, useful metrics and what the pilot will need.
We connect selected data, configure calculations and help the team learn through real work tasks. Together with users, we check answers and assess accuracy, usability and value against agreed criteria.
We continue supporting the team in daily work, configure the alerts you need and review process changes. Together, we decide how to use released time. Successful solutions expand to new questions, users and departments.
Scope, cost, timing and your team’s involvement are agreed before each stage.
After the audit, you can decide whether to launch a pilot, prepare the data first or change the process itself.
The scope depends on your task and data readiness. We start with what is necessary and agree any additional features separately.
Natural-language questions, comparisons, follow-ups and calculation checks.
Learn moreSources, record matching and refresh rules.
Learn moreDefinitions, formulas, permissions and reference calculations.
Learn moreAgreed conditions, frequency and responsible recipients.
Learn moreCRM handoffs, staff tasks and further development are scoped separately.
Learn moreSourced answers from instructions and documents; a separate task from GenBI calculations.
Learn moreCheck data readiness, compare approaches and estimate potential value before discussing implementation.
Answer questions about your task, data and team. Get guidance on where to start.
Check readinessSee the shift from manually preparing a report to an answer you can immediately refine and verify.
Compare approachesEnter your own assumptions to estimate time released and compare it with implementation costs.
Estimate impactThese examples explain the approach. The solution’s scope for your company is defined after reviewing the task and data.
Pavel Maianov, founder of ai.forvio, opened a branch in Georgia, built team processes and worked with developers on CRM implementation.
At ai.forvio, he connects management priorities with everyday team work, from reviewing processes to checking the solution in practice.
Then choose the tools.
Add what is needed.
So implementation benefits the team.
You can ask follow-up questions about connected data without commissioning a separate report for each new breakdown. For example, move from an overall sales decline to specific customers, products and managers. If existing reports fully cover the task, we recommend keeping them.
The chat is an interface. Behind it are connected company data, metric calculation rules and access permissions. Answers can be checked against calculations and source records.
No. Start with one task and selected sources. We define which answers this scope can support and which data it requires.
A description of the selected process, a list of systems and spreadsheets and examples of management questions. Each involved department needs a knowledgeable contact, ideally its manager, to help validate the solution. Access is discussed separately once its purpose and scope are clear.
A description of the task and workflow, a data map, metric rules, known limitations and a pilot proposal. These let you decide whether to proceed or prepare the foundations first.
We identify issues affecting the selected calculation: duplicates, gaps or inconsistent names and definitions. We propose the necessary preparation. You do not need to clean all company data at once.
By scope, data readiness, connections and hosting requirements. The audit and pilot are agreed separately. Before each stage, we document deliverables, cost, timing and dependencies on your team.
We first assess time spent and process limitations, then test value in the pilot. Time released, reduced spending and additional earnings are assessed separately: one does not automatically imply another.
We use existing systems where possible and test changes in a limited area. Any switchovers or temporary restrictions are planned with you in advance.
Before launch, we check calculations against verified examples and test permissions. Answers expose sources and calculations. If data is insufficient or the question is ambiguous, the system should state the limitation or ask for clarification.
Yes, these scenarios are configured separately. We define the metric, condition, check frequency and recipients. Task creation requires the relevant integration and agreement on actions needing confirmation.
During the pilot. We work through real tasks, help employees use the solution and validate answers together. Support continues after launch under the agreed support scope.
We review accuracy, usability and actual team use. If the pilot demonstrates value, we extend questions, sources and users. Further work and support are agreed separately.
Ask in your own words and refine the answer. Metrics use approved definitions and your access rights. Undefined metrics require clarification. Internal SQL is restricted to authorised sources, read-only access and workload limits, with query logging. The customer chat does not provide unrestricted SQL.
We can design the solution for your infrastructure or a dedicated isolated environment under our support. Where required, a local language model can process agreed data without sending it to external AI providers. Architecture, access, storage and backups are agreed before connecting data. Isolation must cover the entire processing chain.
Tell us where the team loses time, which figures need manual preparation or which problems you discover too late. We will identify what to improve first.