Real work looks different in every team.
Explore six fictional workflows, each with the records a team would actually use. Custom software, agents, connections, and shared work sit inside a decision professionals already make.
Illustrative workflows · fictional data · no customer results claimed
Use cases by team
Marketing
Know what the numbers mean before you move the budget.
Reconcile advertising actions with equal-age sales outcomes before releasing an additional campaign-spend tranche.
Finance
Explain the adjustment before you close the month.
Reconcile service evidence, posted invoices, and manual accruals before month-end review, without treating a budget variance as accounting evidence.
Legal
Know which customer commitments a change puts at risk.
Assess a proposed subprocessor migration against negotiated customer commitments and the processing facts the service team can actually support.
Medical research
Know which findings belong in the same comparison.
Identify reports from the same trial and incompatible outcome comparisons before they become inputs to a research synthesis.
Engineering
Give engineering evidence it can act on.
Investigate whether retrying a timed-out write creates a duplicate side effect, then return a reproducible case before release.
Operations
Make a shipment promise the warehouse can actually keep.
Resolve a shipment exception when physical stock, quality status, reservations, transfer timing, and receiving constraints disagree.
One platform, different forms of useful work.
Custom software
Reusable functions shaped around the team’s actual rules.
Agents at work
Research, comparison, investigation, and supported action through tools and applications.
Connected context
Approved services, APIs/MCP capabilities, and files remain distinct from what Prajvis creates.
Shared continuity
Evidence and useful work can return to the people responsible for the decision.
Bring a workflow your team already owns.
Start in the product, or request a conversation about how Prajvis would fit the work.