See FlowSync workflows in action

Accounts Payable: from request to outcome

1. Inbound Gateway: Invoices arrive via email, WhatsApp, ERP connector, or API — all routed into one intake queue
2. AI Ingestion & Extraction: The agent framework reads, classifies, and extracts line items, amounts, and vendor details from every document format
3. 3-Way Match Engine: Extracted invoice data is matched against purchase orders and goods receipts by the process stage orchestrator
4. Exception Detection Agent: The configurable rules engine automatically flags mismatches, duplicates, and policy violations — only exceptions move to human review
5. Finance Review: Only flagged exceptions land on the finance team's desk — reviewed and overridden where needed, everything else flows through
6. Payment Batch Orchestration: Cleared invoices are grouped and scheduled into payment batches by the process orchestrator, ready for sign-off
7. Manager Approval: Payment batches are presented for digital sign-off — full visibility into every invoice in the batch, one click to approve
8. Bank API Submission & Audit Trail: Approved payments submitted directly via secure bank API connector, and a full governance audit trail is generated simultaneously

Authorised people review material decisions and exceptions. A demonstration is not proof of a customer result or a confirmed integration.

VAT Returns: from request to outcome

1. Inbound Gateway: Source data arrives via accounting software export, email attachments, or API — all routed into a single intake queue
2. Document Store & Embeddings: Structured records and unstructured documents are captured, stored, and embedded for retrieval by downstream agents
3. VAT Categorisation Agent: A RAG-backed agent retrieves relevant tax rules and model context to categorise each transaction to the correct VAT code automatically
4. Calculation Engine: The stage orchestrator runs input and output VAT calculations across all categorised transactions, applying configurable tax rules
5. Reconciliation Agent: Cross-system validation checks calculated totals against source records, prior periods, and connected systems to surface discrepancies
6. Tax Review: Only flagged exceptions and reconciliation gaps are escalated to the tax team — reviewed, adjusted, and signed off before submission
7. Submission Orchestration: The approved return is packaged into a submission-ready compliance pack and filed directly via the SARS connector
8. Governed Audit Trail: An immutable log of every extraction, categorisation decision, calculation, reconciliation check, and sign-off is generated for regulatory compliance

Authorised people review material decisions and exceptions. A demonstration is not proof of a customer result or a confirmed integration.

Onboarding: from request to outcome

1. Multi-Channel Intake: New client submits documents via client portal, email, or WhatsApp — all intake channels funnel into a single processing queue
2. AI Document Extraction: The agent framework extracts structured data from IDs, company documents, financials, and onboarding forms using OCR — with context persisted across stages
3. Compliance Rule Engine: The configurable logic layer checks extracted data against KYC and AML rules, completeness requirements, and jurisdiction-specific compliance criteria
4. Risk Scoring Model: The model management layer runs client data through a risk scoring model, generating a composite risk profile with flags for downstream review
5. Compliance Review: Only high-risk profiles and rule exceptions are escalated to the compliance team — reviewed with full document context, annotated, and signed off
6. Client Setup Orchestration: Approved clients are automatically provisioned across connected systems — ERP, CRM, Xero, and SimplePay — triggered directly from the compliance sign-off
7. Governed Client File: A persistent, governed client file is created in the document store — capturing all extracted data, risk scores, rule decisions, and a full compliance audit trail

Authorised people review material decisions and exceptions. A demonstration is not proof of a customer result or a confirmed integration.

Grant Management: from request to outcome

1. Application Intake Gateway: Grant applications received via client portal or API — all submissions routed into a structured intake queue with stage memory initialised
2. Structured Data Extraction: Embeddings and RAG extract and enrich structured and unstructured application data — financials, narrative, supporting docs — building a persistent application context
3. Eligibility Engine: Config-driven validation checks each application against eligibility criteria, funding rules, and exclusion lists — ineligible applications are filtered before scoring
4. Scoring & Ranking Agent: Weighted scoring models evaluate each eligible application across multiple dimensions — financial health, impact potential, implementation capacity — and produce a ranked cohort
5. Panel Review Workflow: Panel members work collaboratively within a structured review stage — individual scores, annotations, and comments are captured and aggregated in the platform with full context from prior stages
6. Committee Pack Generator: An agent automatically assembles a committee-ready pack — ranked shortlist, panel scores, supporting documents, and risk flags — eliminating manual pack preparation entirely
7. Executive Sign-off: The committee reviews the generated pack and authorises funding decisions digitally — approvals, rejections, and conditions are recorded with full traceability
8. Disbursement Orchestrator: Approved grants are released in tranches according to the configured disbursement schedule — milestone-triggered payments managed by the tranche engine
9. Impact Monitoring Agents: Ongoing agents track milestone delivery, flag non-compliance, request progress reports, and surface performance data throughout the full grant lifecycle
10. Full Lifecycle Audit Trail: An immutable governance log covers every stage — from intake to impact — capturing all decisions, scores, sign-offs, and disbursements in a single audit-ready record

Authorised people review material decisions and exceptions. A demonstration is not proof of a customer result or a confirmed integration.

Purchase Order Finance: from request to outcome

1. Funding Request Intake: Funding request arrives via email, API, or client portal — submission captured with supporting PO documentation and routed into the processing queue
2. PO Extraction Agent: Agent extracts PO details, invoice amounts, counterparty data, and delivery terms from submitted documents using document store and embeddings
3. Buyer Validation Connector: External integrations verify buyer creditworthiness, trade registry status, payment history, and existing credit exposure in real time
4. Risk Model Execution: The model management layer runs the underwriting risk model — generating a risk-adjusted funding recommendation with pricing inputs and exposure limits
5. Credit Committee Review: Credit committee reviews the AI-generated risk assessment and recommended terms — approves, declines, or sets conditions with full deal context available
6. Offer Generation Agent: Agent dynamically assembles a term sheet from the approved risk model output and committee conditions — pricing, tenor, and security requirements generated automatically
7. Client Sign-off: Term sheet presented to the client for digital acceptance — agreed terms, conditions, and electronic signatures captured and stored in the deal record
8. Funds Disbursement Engine: Approved funds disbursed directly to the supplier via secure payment connector — API-driven, milestone-triggered disbursements managed by the engine
9. Repayment Monitoring Agent: Event-triggered agents track repayment schedules against invoiced milestones — flagging missed payments, triggering collection workflows, and updating the deal record automatically
10. Governed Deal Record: An immutable deal log captures the full lifecycle — from intake to final repayment — covering all decisions, valuations, disbursements, and monitoring events for regulatory and portfolio reporting

Authorised people review material decisions and exceptions. A demonstration is not proof of a customer result or a confirmed integration.

RFP Workflow: from request to outcome

1. Inbound Gateway: RFP documents arrive via email listener or portal scrape — opportunity data extracted and routed into the qualification pipeline automatically
2. Opportunity Qualification Agent: RAG-backed agent draws on past bid memory — win rates, scope patterns, and reusable content — to assess opportunity fit, scope complexity, and resource requirements
3. Task Plan Generator: Stage orchestrator generates a structured bid execution plan — task breakdown, content requirements, owner assignments, and submission deadlines — automatically from the qualified opportunity
4. Content Assembly Agent: Embedding search retrieves the most relevant content from the reusable knowledge base — past proposals, case studies, credentials, and templates — assembled into a structured first-draft submission
5. SME Content Review: Subject matter experts review and enrich the assembled draft — section edits, technical inputs, and annotations captured collaboratively in the platform, all changes versioned automatically
6. Versioned Submission Pack: Agent assembles all reviewed and approved content into a versioned, formatted submission pack — ready for executive review with a complete edit history attached
7. Executive Approval: Leadership reviews the final submission pack and authorises submission digitally — any conditions or amendments trigger a revision cycle with full version tracking
8. Submission Tracker: Approved submission dispatched via connector — acknowledgement, portal status, evaluator feedback, and outcome are tracked through the full submission lifecycle
9. Version History & Audit Trail: Immutable bid record captures every draft, edit, review comment, approval, and submission event — version history preserved as institutional memory for future bids and continuous improvement

Authorised people review material decisions and exceptions. A demonstration is not proof of a customer result or a confirmed integration.

SME Loan: from request to outcome

1. Loan Application Gateway: Application received via mobile app, WhatsApp, or client portal — all channels funnel into a single structured intake queue with supporting documents attached
2. Bank Statement Parsing Agent: Document ingestion layer ingests bank statements and financial records — the agent parses transaction history, income patterns, and cash flow signals for downstream model execution
3. Affordability Model Execution: The model management layer runs the affordability model — calculating disposable income, debt-service coverage, and affordability ratios against configurable lending rules
4. Credit Bureau Connector: Real-time query to credit bureaus retrieves bureau score, default history, and existing credit exposure — data enriches the composite risk model input
5. Risk Scoring Agent: Composite model logic combines affordability output, bureau data, and application signals into a single risk score with recommended approval tier and pricing band
6. Underwriter Review: Only applications outside auto-approve thresholds are escalated to the underwriter — full model output, bureau data, and parsed statements available in context for an informed decision
7. Offer Generation Orchestrator: Dynamic pricing engine assembles the loan offer — rate, term, instalment, and conditions generated from the approved risk tier and underwriter conditions
8. Customer Acceptance: Loan offer presented to the customer for digital acceptance — agreed terms, disclosures, and electronic signature captured and stored in the deal record
9. Disbursement Engine: Accepted loan disbursed via secure payment connector — funds released to the designated account with settlement confirmation fed back into the deal record
10. Collections & Compliance: Event-triggered collections agent monitors repayment schedules — missed payments trigger automated workflows; simultaneously, the compliance audit trail captures the full regulatory record for NCR and banking compliance reporting

Authorised people review material decisions and exceptions. A demonstration is not proof of a customer result or a confirmed integration.

Vendor Compliance: from request to outcome

1. Vendor Intake Gateway: New vendor onboards via self-service portal or API — application and supporting documentation routed automatically into the validation queue
2. Document Validation Agent: Embeddings-backed agent validates submitted documents — checking completeness, authenticity signals, and flagging expiry dates on certificates, insurance policies, and registrations for ongoing monitoring
3. Compliance Rule Engine: Config-driven policy layer checks the vendor against registration requirements, insurance thresholds, B-BBEE requirements, and any jurisdiction-specific or category-specific compliance rules
4. Sanctions Screening Connector: Real-time watchlist query checks the vendor entity and key principals against sanctions lists, PEP databases, and adverse media — results fed directly into the risk profile
5. Procurement Review: Only flagged exceptions — sanctions hits, high-risk ratings, or incomplete documentation — are escalated to the procurement team for manual assessment and sign-off
6. ERP Sync Orchestration: Approved vendor record pushed to the vendor master in the ERP — categories, payment terms, spend limits, and compliance status synced automatically, no manual data entry
7. Ongoing Monitoring Agent: Expiry detection agents continuously monitor document validity across the active vendor base — triggering alerts and re-validation workflows automatically when certifications or registrations approach their expiry date
8. Governed Compliance Archive: Immutable compliance record captures the full vendor lifecycle — onboarding journey, all document versions, screening results, policy decisions, and every monitoring event — audit-ready at any point

Authorised people review material decisions and exceptions. A demonstration is not proof of a customer result or a confirmed integration.

Claims Intake: from request to outcome

1. Claim Intake Gateway: Claim submitted via client portal, mobile app, or API — intake channels capture claim details, incident description, and supporting documentation into a single structured queue
2. Data Extraction Agent: OCR-backed extraction agent captures structured claim data from submitted documents, images, and forms — incident details, claimant information, and supporting evidence extracted and indexed for downstream models
3. Fraud Detection Model: Model management layer runs a multi-signal fraud detection model — cross-referencing claim patterns, claimant history, prior claims, and anomaly indicators to generate a fraud probability score
4. Policy Validation Connector: Real-time policy check validates the claim against the active policy — coverage type, limits, excess, exclusions, and policy status confirmed before assessment proceeds
5. Damage Assessment Agent: AI-assisted damage estimation agent analyses submitted images and incident data — generating a structured loss estimate and damage summary, with confidence scores, ready for assessor review
6. Assessor Review: Human assessor reviews the AI-generated damage estimate with full claim context — validates loss amount, adds expert commentary, and flags any coverage disputes before the settlement engine runs
7. Settlement Engine: Policy logic calculates the final settlement amount — applying deductibles, excesses, sub-limits, and applicable coverage rules to the assessor-confirmed loss figure
8. Approval: Settlement recommendation presented for final sign-off — approver reviews the full claim file, AI assessments, and assessor commentary before authorising payment
9. Payment Connector: Authorised settlement amount released via secure payment connector — claimant notified and payment confirmation fed back into the claim record automatically
10. Regulatory Audit Trail: Immutable compliance log captures the full claims lifecycle — intake to payment — with all AI decisions, fraud scores, human reviews, policy validations, and approval events recorded for regulatory reporting

Authorised people review material decisions and exceptions. A demonstration is not proof of a customer result or a confirmed integration.

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