SynqLedger Intelligence · Coming next
AI that understands the business
behind the numbers.
Ask why. Understand what changed. Follow every answer to the evidence. SynqLedger Intelligence is being built on the same governed authorities that produce the accounts — so an explanation is traceable, and never an invented number.
- 01
Question
“Why are sales down?”
- 02
Explanation
Sales ↓ 11.7% across four named drivers
- 03
Driver
Customer volume −5.4 pts
- 04
Customer / product
Two accounts, three product lines
- 05
Order / invoice
The specific documents behind the movement
- 06
Ledger evidence
The journal that produced the reported figure
Illustrative trace. An explanation is only offered where the evidence supports it.
Illustrative demonstration
“Why are sales down?”
One question, resolved across customers, products, inventory and finance — with the part that cannot be explained disclosed rather than absorbed.
“Why are sales down?”
Customers
Two accounts reduced order frequency
Products
Mix shifted to lower-value lines
Inventory
Stock-outs on two fast movers
Finance
Revenue agreed to the ledger
Illustrative explanation
Sales ↓ 11.7%
Every figure is illustrative. Conversational Intelligence is in development and not yet available.
The loop
Ask → Understand → Investigate → Decide → Govern → Execute
An answer is only useful if you can act on it, and only safe if acting on it stays inside the same authority model as everything else.
Ask
A plain-language question, no report request queue.
Understand
Resolved against the governed domain authorities.
Investigate
Drivers separated by customer, product, entity and period.
Decide
The explanation carries its figures and its gaps.
Govern
Intelligence proposes; it can never post, pay or approve.
Execute
A governed routine, run by someone with the authority.
Questions in scope
The questions finance actually gets asked
Each resolves to authorities that already exist in the platform, which is why the answers will be traceable rather than generated.
“Why are sales down?”
Volume, price and mix separated by customer, product and entity.
“Why is cash falling despite profit?”
Working capital movement traced to receivables, payables and inventory.
“What is blocking close?”
Named blockers from the period-close authority, not a status guess.
“Which entity caused the group profit decline?”
Entity contribution before and after consolidation adjustments.
Role-aware
Different seats, different questions
CFO
“Why is cash falling?”
Controller
“What is blocking close?”
Sales manager
“Which customers drove the decline?”
Treasury
“Where is liquidity concentrated?”
Operations
“Which work orders caused the variance?”
Group finance
“Which entity moved the group result?”
Trust
Three principles we will not trade away
Grounded in governed evidence.
Answers use authoritative SynqLedger readers and reconciled business data — never a parallel data set assembled for the answer.
Shows what it cannot explain.
Missing evidence and unattributed amounts are disclosed rather than invented. A confident wrong answer is worse than no answer.
Intelligence proposes. Authority executes.
It cannot bypass entity scope, maker-checker, capability controls or the accounting authority.
The hard part already exists
Governed data, reconciled subledgers, cross-domain evidence, entity context, reporting drill-down and authority controls are live and validated in SynqLedger today. Intelligence is the layer that will sit on top of them — and we will not describe it as shipped before it is.
SynqLedger Intelligence
Asks, explains, proposes
Governed business readers
Read-only, entity-scoped
Governed domain authorities
The only places consequence is created
Authoritative business evidence
Ledger, subledgers, reconciled records
Where it lands
Decisions made on evidence, not on the last version of the spreadsheet.
Intelligence is being built for the moment before a decision, when someone senior asks a question the reporting pack does not answer.
See what's coming to SynqLedger Intelligence
See how governed operational and financial evidence will turn business questions into traceable explanations and controlled actions.