Layer predictive intelligence and conversational executive copilots directly over your existing SAP, Salesforce, HRMS, and operational systems. Built around the exact KPIs relevant to your business, with zero external data sharing and guaranteed nominal recurring costs.
Most mid-size and large enterprises run sophisticated software in every department. Yet C-suite leadership still struggles to obtain a single, reliable version of operating truth.
Your ERP knows what happened in production. Your CRM knows who is buying. Your HRMS knows headcount movements. Your finance system knows how much cash is recorded. But when management needs to know what happens next, information is scattered across dozens of spreadsheets, manual slide decks, and delayed reconciliation cycles.
Interact with our simulated multi-entity enterprise portfolio (Apex Enterprise Holdings). Explore real-time cross-system synthesis across Sales, Capital Projects, Collections, Cash & Treasury, and the live Executive AI Copilot.
Every metric and recommendation in this cockpit is traceable to underlying operational tables.
How high-performing leadership teams evolve from retrospective reporting to autonomous decision support.
Historical sales fell 12% below plan across regional territories. Aggregates data from disparate ERP and spreadsheets.
Two project lines and supplier procurement delays contributed 78% of the shortfall. Identifies cross-system correlations.
Probabilistic conversion algorithms project that without intervention, Q3 cash flow will experience a ₹42 Cr deficit.
Recommends accelerating priority client demand collections and renegotiating milestone vendor payouts to neutralize net debt.
Natural language voice & text query interface. Direct conversational answers backed by verified source table citations.
A cohesive intelligence stack designed to serve the entire management spectrum from shopfloor coordinators to the Chairman.
Unified panoramic cockpit for the CEO, Chairman, and Board. Real-time synthesis of pre-sales, EBITDA, collections, capital expenditure, and enterprise risk exposure.
Tailored intelligence modules designed around the exact KPIs relevant for your business model. Aligns Sales, Finance, Procurement, Project Delivery, and Workforce under unified semantic definitions.
Machine learning models that simulate future outcomes: 13-week cash flow trajectories, project delay risks, contractor cost-at-completion, and customer churn probabilities.
Don’t just flag a red KPI. The platform diagnoses why variance occurred and synthesizes prioritized corrective action paths based on historical business outcomes.
Ask complex business questions in conversational English. The semantic agent translates natural language into verified SQL queries across SAP, Salesforce, and HRMS with zero hallucinations and line-level attribution.
Automate repetitive executive briefing cycles. The system compiles daily exception briefs, weekly flash reports, and quarterly management presentation decks automatically.
Explore how Enterprise Decision Intelligence solves the high-stakes operating challenges facing each executive role.
Eliminate conflicting departmental reports. Gain real-time visibility across portfolio revenues, sanctioned budget progress, net debt, and high-impact operational risks in a single trusted view.
Connect general ledger entries, customer receivables ageing, and contractor commitments to predict net cash requirements and stop margin leakage at the root.
Harmonize physical execution milestones with financial commitments. Predict delay risks, track contractor performance, and prevent cost-at-completion overruns.
Connect organizational talent metrics with operational demand. Predict flight risks in mission-critical roles, plan hiring lead times, and monitor workforce productivity trends.
Add a high-speed semantic intelligence layer above your existing SAP, Salesforce, and database infrastructure. Enterprise-grade security with strict RBAC, SOC2 compliance, and VPC hosting.
We do not ask you to rip and replace existing investments. Our platform integrates your entire IT landscape into a single source of intelligence.
Direct semantic mapping to SAP S/4HANA (FI, CO, PS, MM), Oracle ERP Cloud, and Microsoft Dynamics 365.
Lead pipelines, channel conversion, customer billing, and contract receivables harmonized with finance books.
Headcount planning, organizational hierarchies, talent attrition signals, and department productivity metrics.
Telemetry, batch cycles, machine sensors, offcut scrap logs, and inventory movement records.
Enterprise leaders frequently stall AI initiatives because market vendors create ambiguity around token pricing and unpredictable usage tiers. Here is how Zero Zeta's architecture guarantees nominal, predictable running economics.
99% of enterprise math, aggregations, cross-system joins (SAP + CRM + HRMS), and 13-week forecasting runs inside your database semantic layer using standard deterministic algorithms. Zero LLM tokens are consumed for data crunching.
Tokens are only utilized when an executive executes a natural language query—translating conversational English into parameterized SQL queries and summarizing verified answers. Total token consumption across an entire C-suite is negligible (typically < ₹3,000 to ₹5,000 / $35–$60 per month).
Bring Your Own API Keys (OpenAI / Anthropic / Google Gemini) with direct cost pass-through and zero vendor markup. Or deploy private open-weights models (e.g., Llama 3 / Mistral) directly inside your secure VPC for zero data sharing with outside organisations and zero recurring token bills.
We don’t believe in multi-year, open-ended IT overhauls. We follow a proven, staged adoption journey delivering demonstrable business outcomes.
Map business priorities, reporting bottlenecks, and data readiness across existing SAP/CRM instances.
Establish KPI definitions strictly relevant to your business model, secure private data boundaries (zero data sharing), and prioritized executive use cases.
Deploy a working executive cockpit covering the highest-leverage business units in 6–8 weeks.
Activate predictive algorithms, 13-week cash projections, and conversational natural language query agents.
Expand across remaining subsidiaries, operating divisions, and functional teams.
Discuss your enterprise data landscape, decision bottlenecks, and AI readiness with Zero Zeta's senior AI advisors. We provide tailored advisory grounded in IIT Roorkee and ISB research frameworks.
Direct 1-on-1 strategic session with our enterprise solutions architecture team.
