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AI data agents answer plain-English business questions instantly, freeing up your data team and unblocking product and marketing.
Automation workflow
from $297/month
1 ready data analysis workflow on n8n — set up, hosted and maintained for you. You keep the JSON.
Custom AI agent
from $2,000
Built for your systems and rules on Claude and n8n. Live in 2–4 weeks with documentation and a walkthrough; maintenance optional from $99/month.
Proof
Real-Time BI Dashboards Without a Data Team
AI Data Agent for a Logistics Company
Read the case studyReal outcomes from real builds — not marketing copy.
Real-Time BI Dashboards Without a Data Team
How a 200-truck logistics company used an AI data agent to replace manual Excel reporting with real-time dashboards—cutting reporting time by 90% and surfacing insights that saved $420K annually.
Read deploymentSelf-Serve Reporting in Minutes
How a 200-person SaaS company deployed an AI data agent to let business teams self-serve 70% of their reporting needs.
Read deploymentConnect to your data warehouse (Snowflake, BigQuery, Postgres).
Define your schema, metrics, and any specific business logic (e.g., 'How we calculate ARR').
Users ask questions in plain English via a chat interface or Slack, and the agent returns charts and SQL.
Non-technical teams wait days for ad-hoc data requests. Data analysts spend 60% of their time answering easy questions.
Connect your data warehouse. Anyone on the team asks questions in plain English via chat or Slack. The AI writes SQL, runs the query, and returns a visualization.
Tools: Julius AI, Seek AI, Tableau Pulse
Teams discover metric problems days late—when the weekly review happens. By then, revenue is already lost.
The AI agent monitors your key metrics continuously, detects statistically significant changes, and alerts the right team with a diagnosis of probable causes.
Tools: Akkio, Julius AI, Tableau Pulse
Bad data is discovered when a dashboard breaks or a model produces nonsense. By then, decisions have been made on incorrect information. Manual data checks don't scale.
The AI agent profiles your data tables, learns normal patterns, and monitors continuously. It detects anomalies (unexpected nulls, volume spikes/drops, distribution shifts), schema changes, and freshness issues—alerting the data team before downstream impact.
Tools: Monte Carlo, Great Expectations, Anomalo
Metric problems are discovered in weekly reviews, days after the damage is done. Manual threshold alerts create noise without context, and teams waste time investigating false alarms.
The AI agent learns normal metric patterns and detects genuine anomalies using statistical models—not simple thresholds. When an anomaly is detected, it automatically investigates correlated metrics and delivers an alert with probable root causes.
Tools: Monte Carlo, Akkio, Tableau Pulse
Broken pipelines are discovered when a dashboard is empty or a model produces garbage. By then, hours of downstream processing may need to be rerun.
The AI agent monitors pipeline jobs across orchestrators, tracks data freshness and volume at each stage, and detects anomalies in output. When something breaks, it alerts with context: which job failed, what data is affected, and suggested fixes.
Tools: Monte Carlo, Great Expectations, Bigeye
Data analysts spend 30–50% of their time building recurring reports: pulling data, creating charts, writing summaries, and distributing to stakeholders. Weekly business reviews, monthly board reports, and campaign performance summaries follow the same structure every time but still require hours of manual assembly. Meanwhile, ad-hoc report requests pile up in the backlog.
The AI agent connects to your data sources (warehouse, BI tool, CRM, marketing platforms), pulls the metrics for each report section, generates visualizations, writes narrative summaries that explain what changed and why, and distributes the finished report via email, Slack, or your preferred channel. Reports run on schedule or on demand, and stakeholders can ask follow-up questions in natural language.
Tools: ThoughtSpot, Databox, Coefficient
Each blueprint shows the trigger, the steps with the n8n nodes named, the guardrails and an importable template — and what it costs to have us run it for you.
Tell us your workflow — we'll send a free scope and timeline within 48 hours.
Not quite? Take a look at ai finance agent — the closest neighbour.
Empower your whole team to query databases and generate charts without knowing SQL. Connect your data warehouse, and users can ask plain-English questions to get instant, accurate charts and insights.
AI data agents act as an on-demand analyst for your business. Instead of product managers waiting a week for the data team to pull a dashboard, they can ask 'What is the churn rate by tier this quarter?' and get a chart instantly. The agent translates natural language into complex SQL, runs the query, and visualizes the result.
Unlike a generic chatbot or manual process, an AI data analysis agent runs autonomously and integrates with your existing tools. Gartner projects that by 2026, over 80% of enterprises will have used GenAI APIs or applications.
Pick the path that fits your team and timeline. Most companies start with one and grow into the others.
Wire up a ready platform yourself. Best for hands-on teams comfortable configuring software.
See data analysis toolsWe scope, build, and deploy your agent — integrated with your CRM and tools. Best for teams that want it live in days, not months.
See the ROI and cost before you commit — useful for justifying the decision internally.
Data Analysis Time Savings CalculatorIf you’d rather DIY, these are the tools we’d reach for. Each lets data teams and operators run an AI data analysis agent without writing code.
Chat-based data analysis and charts
Predictive analytics and modeling for SMBs
Enterprise text-to-SQL
AI insights natively inside Tableau
We may earn a commission when you sign up via our links. How we recommend tools
Usually, no. These agents connect with read-only credentials to prevent any accidental data modification or deletion.
Agents expose the SQL they wrote alongside the chart. Analysts can verify the logic, and users can clarify their prompts.
Tell us your workflow and we'll send a free AI build plan for data teams and operators — scope, recommended agents, and a go-live timeline — within 48 hours. No obligation.
Or just email [email protected]