The question that needs four systems to answer
Someone asks why margin moved. The answer lives in finance, operations, and a spreadsheet nobody maintains. An agent can investigate across all of it and show its work.
Meet the Data Analysis AgentAgents for businesses that already run
Our agents show up experienced.
They arrive knowing the job—analysis, workflow, intake, review. What we do is teach them your business: the systems you run, the words your team uses, and the decisions that never get handed to software.
Why the starting point matters
Most AI projects spend six months learning to walk.
The pilot gets funded, the model gets connected to a sample of data, and two quarters later someone asks what changed. Meanwhile the work that prompted it—the recurring question, the stalled approval, the intake nobody wants to process—is still being carried by people.
We start further along. The agent already does the job. The engagement is spent making it work here, on your data, inside your process, with your team in control of the calls that matter.
Three places to start
Put an agent where the work keeps coming back.
The process that stalls waiting on one person
Work sits in a queue because a step needs judgment. An agent can prepare the decision, route it, and keep the run visible—so the approval is the only thing a person has to do.
See how workflows runThe system the agent needs to exist
Sometimes the agent can't do the job until something is built around it—an integration, a pipeline, a screen where people and agents work on the same thing.
See the full agent catalogOur most requested agent
Data Analysis Agent: follow the question across every source.
Ask something that crosses company systems, watch how the answer was built, keep pushing on it, and turn the finding into something the team can actually use.
- Connect multiple approved business sources
- Ask a question and continue with useful follow-ups
- Trace findings to source context and definitions
- Create charts, tables, reports, and downloads
Operations lead
Which routes drove the change in operating margin this month?
The agent’s interpretation
Compare operating margin per route against the prior month, then rank routes by how much they moved the total—separating cost changes from revenue changes.
- Pull route-level revenue, cost, and completed trips for both months
- Recalculate margin per route using the finance definition
- Rank routes by contribution to the total change
- Split each route’s movement into price, volume, and cost effects
Example output
Three routes account for most of the change.
This illustrative answer combines operating, finance, schedule, and fuel information. It is not a client result.
MNL–CEB
CEB–DVO
MNL–ILO
RoutePrimary driverDirection
MNL–CEBFuel cost / tripHigher
CEB–DVOLoad factorLower
Sources: operations · finance · schedules · fuel
Human decisionWhether to reprice or reschedule a route stays with the operations lead.
Ask a follow-up about your data…
A practical first move
Pick one job. Prove the agent. Expand what earns it.
Name the job
Pick one recurring question, workflow, or decision. Find out who carries it today and how long it takes them.
Train it on your business
Connect the data, agree what the words mean, set who can see what, and decide where a person has to sign off.
Test against known cases
Run it on questions you already know the answer to. Deploy it to one team. See whether the number you agreed on actually moves.
Bring us one job worth improving