Agentic AI audit
Two weeks inside your transactional workflows to find where autonomy pays first, ranked by recoverable value rather than by how easy it looks.
Deliverable · prioritised opportunity map
Agentic AI for multi-entity finance
AshaAI designs vendor-agnostic agent architectures that sit above SAP, Oracle, NetSuite and whatever else came with the last acquisition. Your systems stay. The manual work doesn't.
Built for CFOs and CEOs overseeing enterprise-scale finance operations across multiple ledgers and legal entities.
Ranges observed across prior engagements and published enterprise benchmarks. Your baseline gets measured in week one.
About
AshaAI was founded by an enterprise architect who has spent his career connecting finance functions with the systems they inherit. The mission is bridging fragmented legacy ERP estates with genuinely autonomous operations, without forcing a rip-and-replace programme sitting in the middle.
Engagements run either as a fractional solution architect shaping your multi-year roadmap, or as a delivery partner deploying specialised agents into a live multi-ERP environment. Either way the deliverable is an architecture you own, on infrastructure you choose, with no licence lock-in attached.
Engagements
Scoped, fixed-outcome engagements. Each one ends with something you can take to a board, not a slide deck about possibilities.
Two weeks inside your transactional workflows to find where autonomy pays first, ranked by recoverable value rather than by how easy it looks.
Deliverable · prioritised opportunity map
An intelligent agent layer wired into SAP, Oracle, NetSuite and the multi-entity databases nobody wants to touch. No migration required.
Deliverable · deployed integration layer
Real-time validation that enforces global regulatory standards at the moment of posting, with an immutable evidence trail your auditors can read.
Deliverable · control framework in production
Forecasting agents across your banking footprint, surfacing trapped working capital and pricing the cost of leaving it where it sits.
Deliverable · live liquidity layer
The enterprise deadlock
Mergers, regional rollouts and a decade of “we'll consolidate later” left most finance functions running four ledgers and one very tired close team. Bots that mimic keystrokes cannot survive that.
Rule-following macros break the moment reality varies: a new invoice template, a partial receipt, a remittance buried in an email body. Every break becomes a ticket, and every ticket lands back on the team you were trying to free.
Goal-oriented agents don't follow steps. They pursue outcomes and escalate what they can't defend.
Every supplier, subsidiary and bank formats data differently. Static parsers degrade quietly until someone notices the exception queue.
Automation handles the easy 70%. The remaining 30% consumes your senior people, month after month, forever.
No single system holds the truth, so consolidation happens in spreadsheets, and controls live in someone's head.
A full ERP consolidation is a three-year, eight-figure bet. Most boards will not sign it, so nothing changes.
The ecosystem
A specialised trio deployed above your existing stack: one to find the work, one to prove it safe, one to keep it honest in production.
KavSense mines your fragmented system data to map current-state process reality, not the reality in the process documentation. It ranks automation candidates by recoverable value.
Reads from: SAP · Oracle · NetSuite · Coupa · banking APIs · shared mailboxes
IstiForge replays hundreds of real transaction scenarios and edge cases in an isolated environment, stress-testing agent behaviour before a single live posting.
Outputs: validated playbooks · escalation matrix · change-readiness pack
MazanShield runs in production, monitoring transaction integrity, enforcing controls and holding the programme to the numbers it promised.
Evidence: immutable action log · control test results · benefit tracking
Core solutions
Six deployment areas, each with a defined architecture, agent choreography and a number your board can hold us to. Open any one.
A unified invoice-to-pay layer running context-aware N-way matching between invoices, purchase orders and goods receipts. Price and quantity mismatches resolve automatically; genuinely ambiguous cases route to a named human with the evidence attached.
KavSense isolates the bottlenecks. IstiForge replays your invoice pipeline in staging. MazanShield governs the live layer and cross-border tax compliance.
Remittance data rarely arrives clean. Agents extract it from email bodies, PDFs and customer portals, then run root-cause analysis on every deduction instead of dumping it in a suspense account.
KavSense unifies customer subledgers. IstiForge builds willingness-to-pay profiles. MazanShield watches the credit risk loop and flags exposure before a default.
Month-end becomes continuous accounting. Agents monitor, validate and reconcile ledger data in real time across regional subsidiaries, so the close is a review rather than a reconstruction.
KavSense tracks transactions for inconsistency. IstiForge drafts multi-dimensional journal entries in a staging sandbox. MazanShield enforces accounting guardrails in production.
Spreadsheet consolidation is replaced with an ingest-reconcile-report pipeline. Agents pull raw ledger data from every entity, run balance sheet reconciliations and flag anomalies against expected ranges.
KavSense mines distributed transaction data. IstiForge generates and tests the consolidation logic. MazanShield tracks changing regulatory mandates and adapts the reporting layer.
Fragmented banking footprints and entity cash pools collapse into one real-time liquidity layer. Agents forecast short-term flows, optimise working capital placement and surface FX and rate exposure as it forms.
KavSense aggregates balances across global banking APIs. IstiForge stress-tests positions against market shocks and capital calls. MazanShield enforces treasury controls and flags unauthorised movement.
FP&A shifts from historical reporting to live decision support. Agents pull operational metrics out of legacy systems, automate variance analysis and draft the narrative behind the numbers.
KavSense runs the aggregation pipelines. IstiForge simulates margin and cash-burn scenarios. MazanShield assembles a board-ready narrative traceable back to source transactions.
Methodology
Phased, reversible, and measured against a baseline we establish in week one. Nothing touches production until it has survived the sandbox.
Weeks 1–2
We map your multi-ERP topology and run a deep workflow audit to expose bottlenecks and set the baseline.
Driven by KavSense
Weeks 3–5
A vendor-agnostic agent layer is architected around your data reality, with governance and access boundaries defined up front.
Architect-led
Weeks 6–9
Hundreds of transaction scenarios replayed against the agents. Edge cases surface here, and your team trains on the outcome.
Driven by IstiForge
Weeks 10–13
Phased rollout, entity by entity, with continuous monitoring of financial integrity and realised benefit.
Driven by MazanShield
Next step
A 45-minute architecture review to identify high-value AI opportunities across your finance ecosystem and define where autonomy can deliver measurable business impact first.