MIDA / SERVICES

Automation & AI-assisted analysis

Define the inputs, calculation rules and review steps before automating. AI can help prepare queries and explain checked results, while calculations and permissions remain explicit.

Discuss this service
THE OUTCOME

Less repeated work, with checks still in place.

Does the same report require the same manual work every week?

Reduce repetitive work and explore data on a foundation of clearly defined metrics. Scope, cost and timing follow an assessment of your sources, access and priority decisions.

What the work involves

01

Workflow review

Map the current steps, failure points and time-sensitive decisions. Choose one repeatable workflow with clear inputs and outputs.

02

Automation design

Agree triggers, schedules, retry behavior and who handles failures. Preserve human approval for consequential changes.

03

AI evaluation

Supply schema and metric context. Test against questions with known answers and records the user is authorized to see.

04

Controlled rollout

Measure corrections and failures, document limitations, and expand only after the workflow passes its acceptance checks.

IMPLEMENTATION EXAMPLE

Weekly reporting preparation

A scheduled workflow collects the approved data, runs defined calculations and prepares a summary for review.

A person checks the findings before distribution. The scope can grow after reviewing real results.

Relevant data sources

View source directory

Before you begin

Start with one useful question.

Tell us about your current sources and what your team needs to understand.

Plan your next step