Ask Your Enterprise Data Anything.
Answers in Under 7 Seconds.
Four specialized AI agents — Finance, HR, Project, and Sales — each trained on the specific data structures, business rules, and terminology of their domain. 150+ intent patterns with confidence scoring between 79 and 95%. Explainable answers that show you the statistical reasoning, driver attribution, benchmark comparison, and confidence factors behind every response — validated on live production data from day one.
Specialist Agents. Not Generic Chatbots.
Generic AI assistants fail on enterprise data because they have no domain knowledge, no access to live systems, and no ability to reason about business-specific rules. Our agents are purpose-built for each business domain — with the system integrations, intent libraries, and business logic their domain requires.
Finance Agent — 28 Intents
Covers accounts receivable aging, budget variance analysis, cash flow forecasting, invoice status, expense anomaly detection, and profit and loss reporting. Asks follow-up clarifying questions when query intent is ambiguous. Example: “Which outstanding invoices over 45 days represent more than 10% of this month’s projected cash collections, grouped by customer and account manager?”
HR Agent — 16 Intents
Headcount analytics, attrition trends, time-to-fill by role and department, compensation benchmarking, training completion tracking, and succession planning data. Validated on a live workforce of 366 employees across 14 departments. Detects concentration risk: when one department represents a disproportionate share of critical skills, the agent flags it with quantified impact — not just a data point.
Project Agent — 18 Intents
Project status, budget adherence, milestone completion, resource utilization, and delivery risk scoring. Identifies projects over budget by percentage threshold, flags delivery risks based on milestone slip patterns, and surfaces resource bottlenecks before they cause delays. What-if scenario analysis for timeline and budget changes included.
Sales Agent — Pipeline and Opportunities
Customer analysis, opportunity pipeline health, win/loss patterns, sales cycle length by segment, and account expansion opportunities. Validated on 66 live sales opportunities. Surfaces pipeline concentration risk, identifies deals most likely to close based on behavioral patterns, and generates weekly pipeline summaries without manual report construction.
Every Answer Shows Its Work
Black-box AI answers are not acceptable for business decisions. Every response from our agents includes a 4-component explanation that executives, auditors, and analysts can interrogate and verify.
Statistical Reasoning
The numerical basis for the answer: what data was queried, over what time period, with what aggregation method. If an HR agent identifies that a department represents 49.3% of a critical skill — compared to a 40% threshold — it states the exact figures, the 9.3 percentage point excess, and the 86% contribution from headcount concentration.
Driver Attribution
Which factors contributed most to the outcome. Not just “revenue declined” but “revenue declined by $420K this quarter, with 67% of the variance attributable to the delay in three enterprise renewals in the MENA region and a 12% reduction in new logo acquisitions in Q2.”
Benchmark Comparison
Every finding is compared against your historical baseline, industry benchmark, or defined threshold. The answer contextualizes the finding: is this result normal, unusual, or a genuine outlier that requires action — and by how much does it deviate from expected?
Confidence Factors
Every response includes a confidence score between 0 and 100 with an explanation of what drives it: data completeness, query specificity, ambiguity in the request, and data freshness. A 79% confidence answer is labeled differently from a 95% confidence answer — so you always know how much to rely on it.
AI That Cannot Be Tricked Into Showing Unauthorized Data
Role-Based Access
Every query is authorized against the requesting user’s role. Department managers see their department. Executives see aggregated views. The AI cannot be prompted to bypass access controls.
Sovereign Deployment
Runs entirely within your infrastructure. No queries, no data, and no responses leave your network. Air-gapped deployment available for regulated environments.
Audit Trail
Every query, response, and data access event is logged with the requesting user, timestamp, data sources accessed, and confidence score — immutable and exportable for compliance review.
Vendor Lock-In
Database-driven intent patterns mean business rules can be updated without code changes or vendor involvement. Your organization owns and controls all configuration.