The Challenge

Finding facts takes longer than using them.

Questions that span several reports become reading exercises, and data questions wait for someone who writes SQL.

01

One document at a time

Questions across reports take hours of reading.

02

Data needs a specialist

Simple questions wait for a query or a dashboard change.

03

No provenance

Answers without citations cannot be checked.

04

Access is hard to respect

Answers must follow each person's permissions.

What You Get
Capabilities

One question searches every approved source.

We connect repositories, set access rules and test answers on known questions. Deployment follows your security requirements.

DOCUMENTS

Cross-document answers

Search files together and return an answer with its supporting passages.

Perfect for
  • Contracts
  • Reports
  • Policies
  • Research
DATA

Plain-language analysis

Turn data questions into checked queries, tables or charts.

Perfect for
  • SQL generation
  • Tables
  • Charts
  • Metrics
CITATIONS

Visible evidence

Show the source behind every statement, and say so when there is none.

Perfect for
  • Citations
  • Passages
  • Gaps
  • Conflicts
ACCESS

Permission-aware search

Answer only from content each user is allowed to see.

Perfect for
  • SSO
  • Permissions
  • Data boundaries
  • Audit
EVALUATE

Quality testing

Measure accuracy and speed on your own questions before expanding.

Perfect for
  • Test sets
  • Accuracy
  • Latency
  • Regression

How It Works

01. Connect

We pick one collection or dataset and agree on permissions and test questions.

02. Test

We check answers against sources, including questions the system should decline.

03. Expand

We add sources and users once quality and cost meet the bar.

What you get!
Business Outcomes

Cited answers need no second check.

→

One question, many files

People ask once across documents.

→

Verifiable answers

Citations open the source passage.

→

Data without tickets

Users explore tables and charts in plain language.

→

Existing access respected

Permissions apply to every answer.

→

Visible gaps

Missing or conflicting information is flagged.

→

Less repeat analysis

Useful answers are kept for the team.

→

The right environment

Deployment meets security and residency needs.

→

Quality before scale

Known questions form the release test.

Case in Point

Healthcare analytics organization

Client engagement, anonymized

A healthcare analytics team searched documents in one tool, pulled figures from spreadsheets in another and combined them by hand. We deployed enterprise search in its approved environment, connected both sources and tuned it to cite every answer and say when the sources fell short. The team now gets cited answers and charts in one conversation, checked against a test set before each expansion.

FAQ

Frequently Asked Questions

What is enterprise AI search?

It lets employees ask questions in plain language across company documents and data and get a direct, cited answer instead of a list of files, within their existing permissions.

How do you stop enterprise search from making things up?

Every answer is grounded in retrieved passages and must cite them. We test on questions with known answers and configure the system to say when sources do not support an answer.

Can it search documents and databases together?

Yes. Document questions use retrieved passages, and data questions become checked queries that return tables or charts, in the same conversation.

Does it respect user permissions?

Yes. Search runs under each user's identity, so people only see answers from content they could already open.

Can it run in our own cloud?

Yes. We deploy where your security team approves, including private cloud accounts, and can use privately hosted models.

Get Started

Pilot with your hardest recurring question.

We will define the sources, access rules and accuracy test for a focused pilot.

Discuss enterprise search

Or email us at admin@pointonezero.com.