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Professional Services AI

Client-ready reports in minutes, not days.

ALTE builds AI reporting assistants and report automation workflows that help professional services teams research faster, summarize data, prepare client materials and standardize knowledge workflows.

Your experts should think, not format.

Current state
×Reports take too long
×Research is scattered
×Knowledge is locked in people's heads
×Client materials are inconsistent
×Senior experts repeat the same work
×Internal templates are underused
Audit first

From manual reporting to AI-assisted drafts.

Before building, ALTE audits the real workflow, data sources and constraints — so the solution fits how the team actually works.

Request Workflow Audit
Reporting workflow
Source materials
Templates & standards
Review process
Client delivery standards
Knowledge sources
Access rules
Infrastructure & Data

Permission-aware sources and human review.

We build permission-aware document access, handle client-sensitive data carefully and keep human review in the loop — so a knowledge assistant respects who can see what.

Discuss Infrastructure Setup
  • Permission-aware AI assistant
  • Document access control
  • Client-sensitive data handling
  • Human review in the loop
Use cases

What we can build for you.

01

AI Reporting Assistant

02

Research Summary Assistant

03

Internal Knowledge Search

04

Proposal Drafting Assistant

05

Client Meeting Summary

06

Document Comparison Assistant

Case example

AI Reporting Assistant

Example pilot result — figures illustrative until a verified client case replaces it.

Problem. Analysts spent days preparing recurring client-ready reports from scattered documents.

Solution. AI reporting assistant that drafts summaries, applies templates and prepares review-ready materials.

63%
less draft time
2.5×
faster first version
28%
less senior review
Process

How we build.

Discovery Call → Workflow Audit → Infrastructure & Data Review → Discovery Sprint → MVP Build + Infrastructure → Secure Launch & Scale.

1

Discovery Call

We identify the business problem, current workflow, expected outcome and potential AI opportunity.

2

Workflow Audit

We study your process, data, tools, users and constraints before defining what should be built.

3

Infrastructure & Data Review

We map data sources, access roles, integrations and deployment needs — and define personal data protection by design before any build.

4

Discovery Sprint

We turn audit findings into MVP scope, architecture, integrations, delivery logic and success metrics.

5

MVP Build + Infrastructure

We build the first working version, configure infrastructure and prepare secure deployment.

6

Secure Launch & Scale

We deploy, configure access, onboard the team, monitor feedback and prepare for wider rollout — data protected.

FAQ

Questions before we build.

Audit-first scoping, fixed scope, secure infrastructure and protected data — here is how ALTE works before a single line of production code ships.

Any questions? Reach out
Can the assistant respect document permissions?

Yes. We build permission-aware sources so the assistant only surfaces what a given user is allowed to see.

No — it drafts and summarizes so experts review and decide. Human review stays in the loop.

Yes. We audit your templates and delivery standards so drafts come out review-ready in your format.

Let's build

Ready to make your team faster?

Let's map your workflow and identify where AI can improve response time, quality and measurable outcomes.