Use case · Analytics

Daily and weekly operating briefings, prepared for you

Turn tasks, processes, meetings and KPI signals into a management summary — so leaders see what needs attention without assembling a report by hand.

Always currentNo manual reportsExceptions surfaced
a morning executive briefing with overdue items and KPI movement
a morning executive briefing with overdue items and KPI movement
Problem

Where inefficiency shows up

Status in many systems

Operating reality is scattered across tools and inboxes.

Manual report assembly

Someone spends hours each week building the same summary.

Flying blind between reports

Leaders only see problems when it’s already late.

Capabilities

What d8n does

A clear operating picture, prepared automatically and refreshed continuously.

Daily management digest

A morning briefing on what changed and what needs a decision.

Weekly operating summary

A structured weekly view across the company.

Exceptions surfaced

Overdue approvals, stalled work and escalations highlighted.

KPI signals

Key metrics tracked with movement called out.

Meeting-ready packs

Review packs assembled for leadership meetings.

Ask anything

Ask questions of your operating data in plain language.

Demo

See how d8n Executive runs this process

A short demo: the agent runs a real process inside d8n — from request to result.

Result

Before → after

Before

Close and reporting — 6–12 days

Data is gathered and reconciled by hand — up to 85% of the team's time goes here; then reconciliations, journal entries, consolidation and report assembly. Only about 15% is left for actual analysis. The median monthly close is around 6 days; laggards take more than ten.

After · with d8n and AI agents

Close in 4–5 days, more time for analysis

Agents collect and validate data from the systems, run reconciliations and recurring entries, consolidate and draft the narrative with insights. Time spent gathering data drops by about 65%, and the team spends it on analysis and decisions instead of spreadsheets.

BPMN process diagram: stages and time before and after AI agents
Process stages and time per stage. Steps run by the d8n AI agent are marked in blue.
Close time10 days5 days
Data gathering85% of time−65%
Reconciliationsmanual−50…75%

Agent data sources: ERP/GL, BI platform, data warehouse (DWH), reconciliation module, FP&A software; sources: bank, sub-ledgers, sales, HR; an AI layer for insights and narrative.

Benchmark sources: APQC — Monthly Close (median 6 days) · Eagle Rock CFO — Close Benchmarks 2026 · McKinsey/Accenture — data prep −65%

Agents working together

A briefing assembled by several agents — step by step

Reporting runs through a pipeline of agents: data collection, reconciliation, narrative and delivery. Most of the work is automatic; the person gets a finished result.

1

Data collection and validation

in parallel

The Reporting agent connects to the ERP, CRM, bank and sub-ledgers and collects the needed metrics; in parallel, Finance validates the key figures, checks completeness and flags discrepancies. This removes the 85% of manual work that used to go into spreadsheet exports.

Reporting — collectionFinance — validation
ERP · CRM · bank · sub-ledgers → Reporting (collect) ∥ Finance (validate · completeness) → a verified dataset
2

Reconciliation and consolidation

The agent runs reconciliations between ledgers, posts recurring journal entries and consolidates data across departments and entities. Discrepancies that need a decision are surfaced to a person as a separate list.

Finance — reconciliation & consolidation
Data → auto-reconciliation → recurring entries → consolidation → discrepancy list to a person
3

Narrative and insights

The Executive agent turns the figures into a briefing a leader can read: key plan-vs-actual variances, trends, risks and recommendations. The team spends its time not on gathering but on interpretation and decisions.

Executive — narrative & insights
Consolidated data → Executive (variances · trends · risks) → finished briefing with insights
4

Delivery and alerts

The leader gets the briefing in chat on request ("the week's results") or automatically on a schedule — every Monday morning. The agent also sends alerts on anomalies: a spike in costs, a dip in a metric, a risk of overrunning the budget.

Reporting / Executive — delivery
Briefing → chat on request · OR auto-sent on a schedule + alerts on anomalies
Process

How it works

1

Data gathered

The agent reads tasks, processes, meetings and KPIs.

2

Summarised

It builds the daily and weekly briefing.

3

Exceptions surfaced

Overdue and at-risk items are highlighted.

4

Delivered

Leaders get it in chat, email or a review pack.

AI agent: The Executive agent prepares the briefings, surfaces escalations and assembles review packs.

FAQ

Where does the data come from?

From your own processes, tasks, meetings and connected systems — not generic sources.

Can we customise the briefing?

Yes — the summary is shaped to the metrics and exceptions your leaders care about.

How do leaders receive it?

In the d8n Messenger, by email or as a meeting-ready pack.

Is it permission-aware?

Yes — each person sees only what they’re allowed to.

Trusted by
Ministry of Internal AffairsHalyk BankJusan BankKASEKazpostKazatompromTengizchevroilAstana HubAtamekenOtbasy BankSamruk-KazynaBeeline

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