Professional Services

AI Reporting Assistant

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

63%

less draft time

2.5×

faster first version

28%

less senior review

Client context

A professional servicesteam came to ALTE with a workflow that did not scale. Before any build, we ran a workflow audit and an infrastructure & data review to understand the process, data sources, users and constraints.

Business problem

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

Audit findings

The audit mapped how work was really done, where AI could create value, which systems and data were involved, and what access roles and infrastructure the solution would need. That produced a technical brief and a fixed-scope MVP definition.

Infrastructure & data setup

We defined data flows, access roles and integration points so the solution runs securely inside the client environment, with personal data protection by design and human control points where the cost of being wrong is high.

Solution

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

Result

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

What to scale next

With the pilot validated, the next step is widening scope to adjacent workflows, hardening the infrastructure and rolling out to more of the team — backed by measured results rather than assumptions.

Let's build

Have a similar process? Let's audit it.

Share your workflow and business goal — ALTE will help define whether it can become an AI-enabled solution with measurable results.

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