
Janani Jeyakanthan
Janani founded JAN AI from firsthand finance, accounting, tax, close, ERP, and strategic finance experience, shaping workflows firms can control before AI supports client work.
Stop chasing documents, rebuilding research, and losing review context across disconnected tools. JAN AI gives tax firms one portal for intake, close, compliance, and advisor-reviewed insights.
Close package assembled. Two items need signoff.
Built for tax and accounting firms that want AI speed without losing professional control. JAN AI brings intake, close, compliance, and advisory work into one portal.
Clients know what to upload, what is missing, and where their file stands before your team has to chase them.
JAN AI organizes documents, GL data, tax research, and open questions into a clean review package.
Your team approves recommendations, filing positions, and client insights before delivery.
Sources, notes, approvals, and decisions stay attached to the client workflow.
JAN AI turns scattered client inputs into a review package your team can approve.
Documents, GL data, deadlines, and client facts land in one controlled workspace.
Missing items, close checks, tax source maps, and explanations are assembled for review.
Your team checks citations, assumptions, risks, and judgment-heavy recommendations.
Approved status, next actions, and explanations are delivered with the trail attached.
Close checklistBank, payroll, AP/AR checks ready
Compliance memoITA / ETA / CRA references attached
Client explanationMargin variance drafted for advisor review
Advisors see close readiness, compliance risk, missing documents, and KPI movement across the client base.
Three items need advisor review before the monthly finance package can be sent.
JAN AI is not one chatbot. Each agent handles a specific workflow, then routes judgment-heavy work back to the professional.
Readiness, reconciliations, missing items
Accountant signs offAP, AR, bank, payroll, subledger checks
Human resolvesSource-backed compliance memos
No autonomous filingCitations, assumptions, contrary-source checks
Second checkCash flow, margin, and advisory briefs
Advisor approvesTax and compliance work cannot rely on confident guesses. JAN AI keeps law, guidance, client facts, and reviewer notes in one trail.
Does the current filing treatment match the client’s September revenue mix?
Preliminary answer prepared with attached source trail. Advisor must confirm facts, assumptions, and final position.
ITA / ETA / Québec tax statutes
Primary lawCRA / Revenu Québec guidance
Administrative positionTax Court / FCA / Québec cases
Case reviewFirm memo and client facts
Internal contextNorthstar’s gross margin dropped 6.8 points after food costs increased and two payroll-heavy weeks landed in the same close period.
Review vendor price changes before next close.
Prepare client-facing margin explanation.
Approve pricing conversation before advisory call.
Clients still need filings, but stronger firms explain what the numbers mean. JAN AI prepares cash, margin, KPI, and next-action briefs for advisor review.
JAN AI is designed around the controls firms already need: human approval, visible evidence, data boundaries, exception review, and clear delivery rules.
Client-facing memos, recommendations, filing positions, and advisory briefs require professional signoff.
AI-prepared work keeps sources, assumptions, reviewer notes, and final decisions attached.
Separate internal review context from client-visible explanations so sensitive work stays controlled.
Unclear facts, missing documents, conflicting sources, and high-risk positions are routed for review.
JAN AI brings together founder-led accounting expertise, systems thinking, and product execution to build a portal firms can trust with real client work.

Janani founded JAN AI from firsthand finance, accounting, tax, close, ERP, and strategic finance experience, shaping workflows firms can control before AI supports client work.

Mahesa supports architecture, FinOps, reliability, data, AI, integrations, and review controls, helping JAN AI become a secure professional-services platform for real firm workflows and operations.

Arfan supports JAN AI through AI engineering, agent workflows, evaluation harnesses, prototyping, and launch execution, turning Janani’s vision into a practical, testable product for firms.
Firms do not need another AI promise. They need to know what is controlled, what is reviewed, and where professional judgment fits.
No. JAN AI prepares and organizes work so accountants and advisors can review faster. Professionals still approve judgment-heavy outputs, filing positions, client explanations, and recommendations.
The strongest starting workflows are client intake, monthly close readiness, compliance review, tax research support, KPI briefs, and advisor-approved client reporting.
Drafts can stay internal until an advisor approves them. Clients only see the reviewed status, explanation, next action, or final deliverable the firm chooses to share.
AI-prepared answers can keep statutes, agency guidance, cases, firm precedent, client facts, assumptions, and reviewer notes attached to the workflow.
Unclear facts, missing documents, conflicting sources, and high-risk positions are routed into review queues instead of being treated as finished advice.
No. The portal is positioned around controlled workflow and review. The product direction supports GL data, client documents, research sources, and approval rules without asking firms to rebuild everything at once.
Start with the workflow creating the most drag today: intake, close readiness, compliance review, or advisory briefs. JAN AI turns it into a controlled portal process your team can evaluate.