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Sayfitech
AI solutions

AI reporting systems

Narrative reports generated from live data, explaining what changed and why.

Engagement
Fixed-scope build, run beside your current pack
Typical timeline
6 weeks, across two reporting cycles
Starts with
Your last three board packs and the queries behind the numbers in them.
01The situation

Three days a month disappear into the board pack: pulling figures, pasting charts, writing the paragraph that explains why revenue moved. The numbers were never the difficult part. The commentary was, and it always falls to the person with the least time to write it.

Why it matters

The weekly report writes itself, on time, every time.

AI that does work, not demos.

What we build

Concrete artefacts, handed over and documented.

01

One agreed set of metrics calculated in the database, so the narrative and the chart can never disagree with each other

02

Commentary generated only from those computed figures, with the movement decomposed by segment, product and period

03

Exception flagging against thresholds you set, so an unusual number is called out rather than buried in a table

04

Scheduled delivery into wherever your readers already are, inbox, Slack, or the deck template your board expects

What changes

01

The monthly pack arrives on the first working day without anyone assembling it

02

Every sentence of commentary can be traced back to a query

03

Analyst time shifts from producing reports to answering the questions they raise

How it runs

  1. Week 1

    01Agree the metrics

    We settle the definitions, what counts as revenue, when it counts, which customers are active, before anything is written.

  2. Weeks 2–4

    02Numbers, then narrative

    A deterministic calculation layer first, with the written explanation built strictly on top of it.

  3. Weeks 5–6

    03Two cycles in parallel

    The generated pack runs alongside the manual one for two periods, and we reconcile every difference.

06Typical stack

Chosen per project. Named here so you can see the shape of it.

  • Postgres
  • dbt
  • Anthropic Claude
  • Slack
  • Looker Studio

Questions we get asked

Next step

Tell us the outcome, not the tooling.

Send us the situation you are in. We will tell you which discipline it belongs to, what we would do first and what it costs, including when the answer is to wait.

Start a projectOr email us directlyinfo@sayfi.ai