Financial document analysis
Extract and organise information from statements and supporting records. Check the result against agreed requirements and make exceptions visible to the reviewer.
AI Engineering for Finance
We build AI systems for financial document analysis, lending reviews and insurance knowledge search. The work prepares information for professional review, with sources, checks and approval points.
Prepared for Review
Where Financial Work Benefits From Engineering
Documents, policies and records need to be brought together for review. Accounting and tax preparation can also be scoped as supporting workflows with structured checks and professional approval.
Lending review support
Prepare supporting material for a lending review, with consistent fields, document references and missing-information checks. Keep the decision with the responsible professional.
Insurance knowledge search
Search approved policy and carrier material with links to the source. Help staff compare relevant information without presenting a generated answer as a coverage decision.
Example Workflow
A Review Pack With Its Sources
Follow the records from collection to professional review, with source references and checks along the way.
Collect
Bring the approved documents and records into scope.
Prepare
Extract relevant fields with document references.
Check
Flag missing material, inconsistencies and exceptions.
Review
A professional checks the evidence and makes the decision.
Keep Professional Judgment With People
Access, source references and acceptance checks are designed for the workflow. Financial, credit and coverage decisions remain with qualified people; the system prepares and organises the supporting work.
Systems and demonstrations
Explore the workflow, the controls and the decisions people retain.
Demonstration
Finance Agents
Six specialist AI agents prepare accounting work, apply written policies and route consequential changes for approval. Evaluation records distinguish a correct result from a missed exception or an escalation that should have happened.
Prepare the work
Agents organise the records and perform their defined review or matching task against the written policy.
Escalate and approve
Uncertain cases are escalated. Correcting journal entries remain drafts until a person approves them.
Evaluate changes
Expected outcomes distinguish correct answers, correct escalations and missed exceptions before a changed agent is released.
Controls and responsibility
Agents prepare; people post. Written policies and intake redaction are part of the workflow. Graded test cases expose errors and missed escalations rather than treating model confidence as proof.
The six roles
- Categorisation
- Proposes account coding and escalates uncertain charges.
- Reconciliation
- Matches book and bank records.
- Close and variance
- Flags differences against the materiality policy.
- Three-way match
- Checks purchase order, invoice and receipt.
- Client intake
- Checks required documents and redacts personal information.
- Action preparation
- Drafts correcting entries for approval.
Demonstration
Mortgage File Review
A borrower file is organised and checked against retrieved lending rules. The underwriter receives cited issues, a proposed conditions list and draft correspondence. The system does not approve or decline the application.
Organise the file
Identify the documents, extract relevant facts and make missing information visible.
Check the rules
Compare the file with the relevant Canadian lending material, including loan-to-value, debt service, income evidence and down payment checks.
Route for a decision
Send the recommendation and supporting citations to a named underwriter. Conditions and correspondence remain drafts.
Controls and responsibility
Rules are retrieved with source references. Every review routes to a person and its steps are recorded. A model confidence indication does not authorise an approval or decline. A different jurisdiction needs a separately reviewed rule library and workflow.
Demonstration
Carrier Appetite Search
A producer describes a risk and receives carrier matches grounded in published appetite material. Each assessment includes a reason and a dated source reference, with a submission draft prepared for review.
Describe the risk
Search combines meaning and exact keywords, then reranks the relevant carrier records.
Inspect the evidence
Results separate admitted and excess-and-surplus markets, and distinguish existing appointments from potential access.
Prepare the submission
A draft cover note and required-document list support the producer’s review. A licensed person makes the binding decision.
Controls and responsibility
Each carrier assessment requires a citation. Missing indexed evidence is reported explicitly. Retrieved passages are kept separate from trusted instructions; an appetite match is not a binding or coverage decision.
Demonstration
Financial Preparation Harness
Prior-period records and current financial statements become a structured, formula-driven review package. AI proposes document interpretations and mappings; code validates them and produces the figures for professional approval.
Map and validate
Propose the account mappings, validate them in code and build preliminary figures for the first approval gate.
Calculate and reconcile
Software computes adjustments and builds the workpaper, source references and open-item list. Items that do not tie are flagged.
Review and export
A professional approves the prepared work before spreadsheet and import-file exports. Corrections rerun the affected stages.
Controls and responsibility
Figures come from code. Approval gates retain professional authority. Outgoing model requests are checked for excluded sensitive fields, and the administration view records model-tier cost per run.
Questions About the Work
Does the system make lending or insurance decisions?
The work described here supports review and preparation. We do not position it as an autonomous credit, coverage or professional decision-maker.
Can reviewers see the original evidence?
Source references and traceability are part of the workflow design. We agree what the reviewer needs to check and how that information is presented.
Can it work with our existing records?
We assess the data, document formats, permissions and system interfaces first. The build is scoped around the approved sources and review process.
Tell Us What You Want to Build
Bring a workflow, a requirement or a problem your team wants to solve.