Business intelligence in most organizations is a bottleneck, not an accelerator. Data lives across 15+ tools. Building a single dashboard takes weeks of analyst time. Reports are outdated by the time they're delivered. And when something unusual happens in the data, nobody notices until it's already cost money. The companies that win are the ones that see what's happening now, not last quarter.
The Data Consolidation Problem Nobody Has Solved
Every business intelligence initiative starts with the same challenge: the data you need lives in different places, in different formats, updated on different schedules. Your revenue data is in the CRM. Marketing spend is across three ad platforms. Product usage is in a separate analytics tool. Customer health scores live in a spreadsheet that someone updates manually every Friday. Financial data is in your ERP or accounting system.
Traditional BI approaches try to solve this by building a data warehouse - extracting data from every source, transforming it into a common schema, and loading it into a central repository. This works, but it's expensive (typically $100K+ to set up properly), slow (6-12 months to get the first useful dashboard), and fragile (when source systems change their APIs, the pipelines break).
Sentie takes a different approach. Our AI agents connect directly to your source systems through APIs and native integrations. They read data in real time, normalize it on the fly, and maintain a unified data layer without requiring a traditional ETL pipeline or data warehouse. When your ad platform changes its API, the agent adapts. When you add a new tool to your stack, the agent connects to it and incorporates that data into your existing dashboards.
This doesn't replace a data warehouse for companies that need one for heavy analytical workloads. But for the 80% of BI use cases that just need clean, current data from multiple sources displayed in a coherent way, it eliminates months of infrastructure work and gets you to insights in weeks instead.
Automated Dashboards That Update Themselves
The dirty secret of most BI implementations is that dashboards go stale. Someone builds a beautiful dashboard during the initial setup, the team uses it enthusiastically for a month, and then the data definitions drift, new metrics get tracked in spreadsheets instead, and within six months the dashboard is a relic that nobody trusts.
Sentie's dashboard agents solve the maintenance problem by treating dashboards as living documents. They pull fresh data on configurable schedules (real-time for critical metrics, daily for trend data, weekly for strategic KPIs), validate the data against expected ranges, and flag issues before they corrupt your reporting. If a data source goes offline or returns unexpected values, the agent alerts your Success Manager rather than silently displaying bad data.
The agents build dashboards tailored to each stakeholder's needs. Your CEO sees a one-page executive summary with revenue, growth rate, cash position, and the three metrics that matter most to your business. Your VP of Sales sees pipeline health, forecast accuracy, and rep performance. Your marketing lead sees campaign ROI, CAC trends, and attribution data. Each view pulls from the same unified data layer but presents the information at the right altitude for the audience.
Your Success Manager works with your leadership team to define the metrics, thresholds, and visualizations that matter. The AI agents handle the data engineering - pulling from source systems, calculating derived metrics, and keeping everything current. When your business priorities shift and you need different metrics, the agent reconfigures the dashboard within hours, not weeks.
Anomaly Detection That Catches Problems Early
Most businesses discover data anomalies reactively. Revenue dropped last month and someone investigates. A marketing campaign overspent and someone notices when reconciling the credit card statement. Churn spiked and the board asked questions. By the time humans catch these patterns in periodic reports, the damage is already done.
Sentie's anomaly detection agents monitor your key metrics continuously and flag deviations from expected patterns before they become expensive problems. This isn't simple threshold alerting ("notify me if revenue drops below X"). The agents build statistical models of your normal patterns - accounting for seasonality, day-of-week effects, growth trends, and known events - and flag deviations that are genuinely unusual, not just natural variation.
When an anomaly is detected, the agent doesn't just send an alert. It investigates. If conversion rate drops, the agent checks whether traffic volume also changed, whether a specific traffic source is responsible, whether a recent website change correlates with the drop, and whether the pattern matches any historical incidents. The alert your team receives includes the anomaly itself plus the agent's preliminary root cause analysis, so you can skip the investigation phase and move straight to resolution.
Common catches include: unexpected drops in conversion rates after site deployments, ad campaigns that start overspending due to auction dynamics, customer churn acceleration in specific segments, inventory shortfalls that will impact delivery timelines, and revenue recognition anomalies that could affect financial reporting. Most Sentie clients report that the anomaly detection pays for the entire platform within the first quarter through a single caught issue that would have been expensive if discovered later.
Executive Summaries Your Leadership Team Will Actually Read
Every week, someone on your team spends hours pulling data from multiple sources, building slides, and writing narrative summaries for leadership meetings. The output is a 15-page deck that took 6 hours to produce and gets skimmed for 5 minutes. This is a terrible use of skilled analyst time, and the summaries are already stale by the time they're presented.
Sentie's reporting agents generate executive summaries automatically. They pull the latest data, identify the key trends and changes since the last report, provide context for anything unusual, and generate a clear narrative summary in natural language. The output reads like it was written by an analyst who understands your business, not like a data dump with bullet points.
The format is configurable. Some leadership teams prefer a structured report with sections for each business unit. Others want a one-page brief that highlights the three things they need to know this week. Some want a Slack message every Monday morning. Others want a formatted PDF attached to a calendar invite. Your Success Manager sets up the delivery format and cadence that matches how your team actually consumes information.
Critically, the summaries include context and recommendations, not just numbers. Instead of "Revenue was $1.2M this week," the summary says "Revenue was $1.2M this week, up 8% versus the trailing 4-week average, primarily driven by a 23% increase in enterprise deal closings. Two deals originally forecasted for next month pulled forward. Pipeline coverage for the quarter remains at 3.2x, suggesting the current pace is sustainable." Your leadership team gets the insight they need to make decisions without digging through raw data.
KPI Tracking That Aligns Your Entire Organization
One of the most common organizational dysfunctions is when different teams measure success differently and nobody realizes the metrics are contradicting each other. Marketing reports on MQLs. Sales reports on pipeline. Finance reports on booked revenue. Each team hits their targets and yet the company misses its growth goals because the metrics weren't connected.
Sentie's KPI tracking agents create a unified metrics hierarchy that cascades from company-level objectives down to team and individual metrics. The agents calculate metrics consistently across the organization using agreed-upon definitions, so when the CEO asks about customer acquisition cost, the number is the same whether it comes from the marketing dashboard, the finance report, or the board deck.
The agents track leading and lagging indicators together. If your company-level goal is ARR growth, the agents don't just track ARR. They track the upstream metrics that predict ARR - pipeline creation velocity, win rate trends, average deal size movements, expansion revenue momentum, and churn rate changes. When a leading indicator moves in the wrong direction, the alert goes out before the lagging indicator is affected.
Your Success Manager facilitates the initial KPI alignment session with your leadership team to define the metrics that matter, the targets, and the alert thresholds. This is often one of the most valuable parts of the engagement, because it forces explicit alignment conversations that many teams have never had. The AI agents then track everything continuously and surface misalignments automatically.
How It Works
Connect Your Data Sources
Sentie integrates with your CRM, financial systems, ad platforms, product analytics, and operational tools. We connect to 100+ platforms through native integrations and APIs, so your data is unified without building a traditional data warehouse.
Define Metrics and Stakeholders
Your Success Manager works with your leadership team to define the KPIs, dashboards, and reporting cadences that matter. Each stakeholder gets a view tailored to their role, with metrics calculated consistently across the organization.
Automate and Monitor
AI agents begin generating dashboards, running anomaly detection, and delivering executive summaries. Your team stops pulling data manually and starts acting on insights. Alerts surface issues before they become expensive problems.
Refine and Expand
Your Success Manager reviews reporting quality monthly, adds new data sources as your stack evolves, and refines anomaly detection models based on what your business actually needs to monitor. The BI layer grows with your company.
Industries This Solution Serves
SaaS & Technology
Track SaaS metrics like ARR, NRR, CAC payback, and cohort retention with dashboards that pull from your billing, product, and CRM systems in real time.
Learn moreE-Commerce & Retail
Monitor revenue, AOV, conversion rates, inventory levels, and marketing ROI across all channels with anomaly detection that catches problems before they hit the P&L.
Learn moreFinancial Services
Consolidate portfolio performance, risk metrics, and compliance reporting into automated dashboards that satisfy both operations teams and regulators.
Learn moreManufacturing
Unify production data, supply chain metrics, and financial reporting across plants and systems with AI that detects operational anomalies in real time.
Learn more