For your role
For Finance Leaders
What you are trying to solve
Teams manually extract data from invoices, match POs, chase approvals, reconcile exceptions and explain variances. Copilots that draft emails help at the margin. The bigger prize is reliable document processing, exception routing and forecast support — with numbers you can defend.
CFO offices also face a new line item: inference spend. Without FinOps discipline, AI costs scale with usage in ways traditional software does not.
What we deliver for you
- Document and case processing for invoices, contracts and approvals — with validation rules finance defines
- Integration with ERP and AP systems; structured outputs, not pasted text
- Exception queues with clear reasons and audit trails
- Forecasting and analysis assistants grounded in approved datasets — with lineage to source
- FinOps: cost monitoring, model routing by task, caching and budget alerts for inference
- Commercial clarity: fixed discovery fee, fixed-scope build increments, predictable managed run
Accuracy and audit
Financial workflows get stricter validation than generic chat. We implement field-level checks, confidence thresholds, dual approval for material postings and full logging of what the system read and wrote.
Inference cost is a product decision
Model choice, prompt length, retrieval scope and caching strategy directly affect monthly spend. We model run cost in discovery and monitor it in production. Finance leaders see dashboards, not surprises.
Commercial model
Discovery is a fixed fee, credited against the build if you proceed within 60 days. Build increments are fixed scope and fixed price. Managed run is monthly, tied to systems under management. Modernisation of legacy finance applications is priced per application or per wave.
Month-end and audit readiness
Finance workflows face scrutiny at close and audit. We design logging and approval paths so you can answer what the system read, what it proposed and what posted — with named approvers for material actions. Starting with draft-and-review before auto-posting is common and sensible.
What we need from you
- Process owners for AP, AR, close or whichever workflow is in scope
- Sample documents and exception types representative of production
- Chart of accounts and validation rules the system must respect
- Budget guardrails for build and run — we size architecture accordingly
Questions finance leaders ask us
Can AI post directly to the general ledger?
Only where you explicitly approve it, with controls we design together. Many clients start with draft-and-review, then expand automation as evaluation proves accuracy.
How do you price discovery and build?
Discovery is quoted as a fixed fee after a short scoping call. Build is a fixed-price proposal delivered at the end of discovery, based on the agreed first production release.
What ROI should we expect?
Discovery includes a value hypothesis and cost model. We do not publish generic ROI percentages — outcomes depend on your volumes, exception rates and starting automation level. Case studies on our site will report real results when clients allow us to publish them.
How is inference cost forecast in the budget cycle?
Discovery models run cost with volume assumptions. Managed run reports actuals monthly. Finance can set alerts at agreed thresholds before overrun.
Controls finance should insist on
Dual approval for material postings, immutable audit logs for automated actions, evaluation gates before prompt or model changes in production, and FinOps dashboards with named owner — these are scoping items in discovery, not surprises at audit.
Related services and reading
AI Discovery and Strategy starts every engagement. Data and AI Foundations, Generative AI and Agent Engineering, ML Engineering and LLMOps, and Application Modernisation follow as scoped increments. How we work describes Perceive, Engineer, Deliver and Run. Insights publishes fortnightly on evaluation, cost, governance and operations.
Named case studies publish when clients allow naming. Until then, role pages, FAQ and Engagements describe delivery honestly — fixed discovery fee credited within sixty days, fixed-scope build increments, managed run optional, handover any time.
We do not invent client logos, outcome statistics or certifications on these pages. Select your region on contact — India, Middle East, ANZ or Other. Glossary defines terms like evaluation harness, agent, residency and increment in plain language.
Getting started
Write to hello@incubics.com with your role, region and use case in two sentences. We respond within one business day with a scoping call invite. Incubics formed in 2026; discovery is two weeks fixed fee; production by week twelve of the build. Contact form regions: India, Middle East, ANZ, Other.
Bring your sponsor, a sketch of systems in scope and honesty about active pilots. We will tell you if discovery is the right next step or if prerequisite work should come first.
Offices in Bengaluru, Pune and the USA. Legal entity: IQLEXA Technologies Private Limited, registered in Pune. Data residency by region: India, Middle East, ANZ, EU, US and other deployments as scoped.
Next step
Start with two weeks.
A fixed-fee discovery gives you a ranked use-case portfolio, a target architecture, a cost model and a build proposal you can take to your board. If we don't find a case worth building, we tell you.