AI Principle Two

AI operates.
Humans confirm.

The default interaction model is inverted. AI processes invoices end-to-end. AI reconciles bank statements continuously. AI computes payroll. Humans review the exceptions, audit the dashboards, and approve the results.

Every workflow, flipped.

Traditional ERP: humans do the work, AI "assists." Anchor: AI does the work, humans confirm the result. Here's what that looks like across the platform.

Invoice Processing

AI: Receives, reads, classifies, matches, codes, and posts invoices end-to-end

AI processes every incoming invoice automatically — extracting data, matching to POs and receipts, coding to the correct GL accounts, and posting for payment.

Humans review the ~15% that don't match cleanly

Bank Reconciliation

AI: Matches bank statement lines to system transactions continuously

AI reconciles bank statements in real time as transactions flow in — not as a month-end batch. Pattern recognition improves with every cycle.

Humans investigate unmatched items

Payroll Computation

AI: Computes gross-to-net for every employee, every pay period

AI handles statutory deductions, benefits, overtime, bonuses, and tax calculations across all jurisdictions. Variance detection flags anything unusual.

Humans audit the variance dashboard before payment run

Performance Reviews

AI: Drafts performance reviews from data signals across the platform

AI analyses attendance, project completion, peer feedback, and goal progress to draft comprehensive performance reviews for every team member.

Managers refine, personalise, and sign off

Procurement Business Cases

AI: Generates complete business cases with market intelligence

AI analyses the procurement need, pulls historical spend data, benchmarks against market prices, evaluates vendors, and drafts a ready-to-approve business case.

Humans refine the recommendation and approve

Period Close

AI: Scans every account, computes accruals, detects anomalies, prepares close

AI runs the full close checklist autonomously — accrual calculations, intercompany eliminations, balance validations, and anomaly scanning across every entity.

Humans review the AI close report and certify

The new operating model.

AI Autonomy + Human Judgement = Enterprise Intelligence

AI handles volume, speed, and consistency. Humans provide judgement, empathy, and accountability. Neither works alone. Together, they're unbeatable.

How AI earns the right to operate.

Autonomous operation requires trust. Anchor builds that trust through transparency, audit trails, and continuous learning from human corrections.

🔎

Full Transparency

Every AI decision is explainable. Click any AI-generated result to see the reasoning, the data sources, and the confidence score behind it.

📜

Immutable Audit Trail

Every action — whether taken by AI or human — is logged with full context. Who, what, when, why, and what data informed the decision.

🛠

Configurable Autonomy

Each organisation sets its own comfort level. Start with AI suggesting and humans approving. As trust builds, shift to AI operating and humans reviewing exceptions.

Learning Loop

Every human correction teaches the AI. Override a classification? The system learns. Edit a business case? It adapts. Reject a match? Next time, it won't repeat the mistake.

🛡

Guardrails & Limits

AI operates within defined boundaries. Monetary thresholds, approval hierarchies, and compliance rules are enforced at every step. AI never exceeds its authority.

📊

Accuracy Dashboards

Real-time dashboards show AI accuracy rates across every function. Track how the system performs and how it improves over time. Full visibility, always.

AI doesn't assist. It operates.

Your team focuses on judgement. Anchor handles the rest.

←  Back to Anchor Platform Suite