Finance
Revenue assurance
Billing rules and leakage checks
Foundation rebuilt for this project
- Connect the sources
- Match the customers
- Define the business terms
- Set access and traceability
“I didn’t realise how much I’d stopped trusting our own numbers
until the day I finally could again.”
Ask · Predict · Decide
Akashic brings your data, analytics and AI onto one governed platform, ready for agents. Every team works from the same figures, each one traced to its source.
[01] Ask Akashic
The figure sits in one system and the reason in a contract, an email or a field report. Akashic reads both and returns one answer, with each line cited.
Why is the South region behind on target, and what’s driving it?
ConnectedPulls in your sales numbers, and the contracts and emails behind them.
UnderstoodKnows how “revenue” is defined, so it means the same thing in every region.
ReasonedFollows the shortfall to its cause: two renewal deals, still unsigned.
AnsweredOne plain answer, with the numbers and the paperwork attached.
South is 8% behind target because two distributor renewals stalled in July.
Your largest South distributor is waiting on a board review of the revised pricing. A second distributor’s counter-signature is still outstanding.
Revenue vs target · South region
The gap is $80,500. The two stalled renewals account for all of it.
“We can’t commit at the revised pricing until our board reviews it in August.”
Each module does one job and hands its output to the next, on one governed foundation.
01 / 07Ingestion
Sources ingested and validated.
02 / 07Entity resolution
Duplicates resolved into one golden record.
03 / 07Modelled storage
Structured, modelled, ready to query.
04 / 07Prediction
Forecasts, trained on governed data.
05 / 07Conversational AI
Plain-language answers, grounded.
06 / 07Decision surface
The same number, on every surface.
07 / 07Always on
It’s been running the whole time.
Start anywhereScale everywhere
Pick the modules that solve today’s problem: they run alongside whatever you already have. Add the rest when you’re ready. The foundation never changes.
[02] Introducing Akashic · seven modules
[03] In production
National systems in production, at population scale.
[04] Where it runs
Cloud, on-premises or hybrid: Akashic is identical in all three. Same modules, same governance, same answers.
Run in the region your regulator names. All three providers, if you need them.
Full data sovereignty, for governments and regulated enterprises.
Keep regulated data in your racks and run everything else in your cloud, governed as one estate.
Your data stays where you need it. The platform on top of it never changes.
[05] The architecture
Bring data, analytics and AI together on one governed foundation. Seven connected modules give teams one consistent view of the business.
Question to answer
From leaders to front-line teams.
Ask: Ask a business question.
Return: Return a traceable answer.
Protect and trace your data.
Check: Apply access rules.
Analyse, ask and predict.
Answer: Choose the right analysis.
Share the same meaning.
Shared context, built by Master Data
Understand: Use shared definitions.
Connect and unify records.
Match: Resolve the records.
Connect the stack you already run.
Applications
Databases
Warehouses
Files and documents
Streams and events
Source: Read from your systems.
[06] AI agentsPreview
Agents read the documents, pull the figures and check the rules. Your teams review the evidence instead of assembling it. Nothing consequential moves without a person’s approval.
Question · alert · schedule
Steps planned, work routed
Tables · documents · metadata
Citations · lineage · rules
Maker-checker sign-off
No agent signs off.
Append-only audit trail
Model and prompt version on each step
Under every run
Model-neutral by design. Each task runs on a named model, including models hosted inside your boundary.
[07] Privacy and control
Akashic applies access rules and privacy controls from ingestion to the final answer, and keeps the platform open to inspect, extend and leave.
[08] Why Akashic
Akashic turns data connections, trusted records and business rules into shared assets. New initiatives extend that foundation instead of recreating it.
When the foundation stays inside each project, the next team repeats the setup.
Finance
Billing rules and leakage checks
Foundation rebuilt for this project
Customer success
Churn signals and interventions
Foundation rebuilt for this project
Service operations
Case priorities and response targets
Foundation rebuilt for this project
Keep the common groundwork. Add the data and logic each initiative needs.
Project-specific work
Finance
Billing rules and leakage checks
Customer success
Churn signals and interventions
Service operations
Case priorities and response targets
New sources, definitions and controls can be added as the work grows.
What one foundation changes for each executive.
Start each new initiative on ground already laid.
After the first, every initiative opens on the connections, records and rules already in place. Its team starts on the business problem.
Roll a proven process out to the next team or region.
The next business unit reuses the same customer records, definitions and controls instead of commissioning its own build.
Fund the new work, not the same setup again.
The groundwork is built once and reused, so each new budget goes to the data and business logic that initiative adds.
Run one set of integrations, not one per project.
Connectors and pipelines are built and maintained once. Each new initiative extends them, whichever warehouse you run.
Fix a data problem once, and every project gets the fix.
A corrected match rule or business definition reaches every initiative that reads from the foundation.
Review controls in one place, not project by project.
Policies and their evidence live in the foundation, so an audit reads one record across every initiative.
[09] Capabilities and connections
An open reference for your technical team. Explore each module, its connections and its controls.
Data layer · Ingestion
Every source, ingested and validated the moment it arrives. Structured, unstructured or streaming: one entry point into the platform, or a standalone ingestion layer.
Data layer · Entity resolution
Every version of an entity resolves into one golden record, with the lineage of everything merged kept intact. Those records and the links between them are what the governed knowledge layer is built from.
Data layer · Modelled storage
Mastered records become models built for fast, reliable queries. Bring your own warehouse or run Akashic-managed storage.
Intelligence layer · Decision surface
Dashboards and metrics defined once, consistent on every surface they appear.
Intelligence layer · Conversational AI
Plain-language questions become governed SQL, answered from the metric layer and the knowledge layer, with lineage attached to every answer.
Intelligence layer · Prediction
Build, train, deploy and monitor models directly on governed data. No exports, no separate environment.
Always on
Access control, lineage and audit under every module, from the first byte to the final answer.
Discuss connector compatibility, model hosting and deployment requirements with our team.
[10] Built on Akashic
Enterprise Intelligence, Intelligent Procurement Management System and Akashic Life each use all seven Akashic modules, with shared data, intelligence and governance.
Agentic FP&A and MIS
For business and operations leaders
Intelligent procurement
For public procurement teams
Frontline maternal care
For health programmes and care teams
Akashic underneathAll seven modules, under all three solutions
[11] Questions
[12] Your next decision
A decision held up by disconnected data. A report nobody agrees on. An AI use case waiting for context. Start there.
What does your team need to know?
Where does the evidence live?
Where should we begin?