IntelliAEO
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Most AI rollouts count logins and prompts. The searching, reconciling, formatting and handoffs often stay the same.
People lose context moving between documents, messages and systems.
Research, reconciliation and status reports crowd out decisions.
Business users wait days for a query or a chart.
Usage reports do not show gains in time or quality.
We define what a finished result looks like, then decide what AI does, what a person checks and what stops.
Study where the task starts, what people search for and repeat, and which decisions need expertise.
Bring approved policies, past decisions and live data into the task, with sources and access rules.
Use agents to query data, build charts, explain results, draft documents and update records within a set scope.
Make each result easy to check, approve, correct or escalate, with evidence attached.
Compare finished work, rework, time and effort against the baseline.
We pick a frequent task with an owner, a baseline and clear exceptions.
We connect data, remove handoffs and add review where risk requires it.
We compare results before and after and fix the slow cases.
Gathering material and first drafts take a fraction of the time.
Users ask data questions in plain language and get charts.
Knowledge and next steps sit inside the work.
Sources and history travel with the task.
Errors are caught before a faster process multiplies them.
Specialists focus on exceptions and customers.
Time, quality and cost are measured against a baseline.
A proven workflow extends to similar tasks.
Client engagement, anonymized
A pharmacy benefit manager's business teams waited on a small group of specialists to answer questions about claims data. We designed three agents that turn a plain-language question into a checked query, a chart and a written explanation, with human review before any client use. Executives received the architecture and a 12-week plan to build it.
Measure finished work, not usage. Record time, rework, quality and effort on one task before the change, then compare after.
Frequent, repeatable tasks that use skilled time but not skilled judgment: research, reconciliation, first drafts, routine data questions and status reports.
They speed up one step while the searching, copying and handoffs around it stay the same. Gains come from redesigning the whole task.
Yes, for suitable questions. One agent writes and checks the query and another builds the chart. We test accuracy on known questions first.
Workflows use approved sources and existing permissions, so people see only what they already could. Sensitive data can stay on privately hosted models.
Show us one recurring task. We will map it and name the first workflow to redesign.
Review an employee workflowOr email us at admin@pointonezero.com.