Upload your files and receive interactive dashboards, attribution-ready analysis, and stakeholder deliverables with every important number traced back to its source.
Trusted by 100k+ companies across the globe.
Automated marketing analytics and attribution reporting uses AI to analyze uploaded business files, calculate metrics, compare performance, and produce reports without making the marketing team assemble every result manually. Energent turns source files into dashboards, tables, charts, and white-label deliverables, then uses an independent AI auditor to recompute figures and trace them to the exact source file, row, and field. It is designed for analysts and teams that need repeatable reporting they can review, explain, and share with stakeholders.
The workflow can begin with a one-off analysis and become a named, re-runnable skill for recurring work. Teams can combine marketing data analysis with reusable reporting workflows while keeping the evidence behind the final output visible.
Energent is built for analytical work that must move from raw files to a report someone can use. These examples show the breadth of outputs and the type of structured evidence available.
Generate KPI summaries, trend analysis, comparative charts, variance analysis, correlation analysis, heatmaps, scenario models, and detailed data tables. The same reporting approach can support interactive analytics dashboards for marketing performance and other analytical domains.
Reports can combine KPI cards, notes, tables, charts, and highlighted exceptions. This is useful when a marketing team needs to explain changes in performance rather than present isolated numbers, including attribution and variance analysis.
Energent Audit acts as a second agent separate from the agent that performed the work. It recomputes numbers, traces them to source evidence, fixes correctable failures where possible, and issues a pass or fail verdict.
Save a workflow as a named skill and feed it new files week after week. The platform supports deliverables such as Excel workbooks with live formulas, Word documents, PowerPoint decks, annotated PDFs, HTML dashboards, ZIP packages, and production-ready scripts.
The supplied examples demonstrate how Energent presents structured metrics in dashboards. They are not marketing attribution benchmarks; they show the reporting, comparison, scenario, and evidence patterns available for analytical workflows.
Bars visualize the supplied dashboard values and are included as an example of structured reporting output.
| Dashboard | Coverage | Reported output |
|---|---|---|
| Cost Center Budget Plan | 12 monthly checkpoints | $22,490 projected quota |
| Macroeconomic Gravity | 2010–2023 panel-year analysis | R² 0.195; correlation -0.441 |
| Discount-Rate Scenario | 257 monthly observations | Baseline PV $1,460.6 |
| Workforce Gaps | 20 economies | Cross-economy comparisons |
The emphasis is not only on producing an answer, but on creating a report that can be checked, reused, and delivered.
Connect figures to the exact source file, row, and field so stakeholders can inspect the evidence behind a result.
Deliver Excel, Word, PowerPoint, PDF, HTML dashboard, ZIP, and production-ready script outputs when the workflow calls for them.
Save a one-off task as a named workflow and feed it new files week after week.
Review what is flagged instead of manually checking every row, with an independent audit and evidence trail.
Process more than 150 file types, including scans, CAD, G-code, BOMs, PDFs, XLSX, and DOCX files.
Start on a desktop, monitor from a phone, and continue later from a tablet while large jobs progress.
Upload the source files and describe the analysis or reporting deliverable you need.
What you see: files and a natural-language request.
Energent analyzes the material, builds the requested output, and independently checks the calculations.
What you see: analysis, charts, tables, and audit checks.
Receive a finished report with a pass or fail verdict, supporting evidence, and source-linked results.
What you see: a defensible deliverable ready to share.
“You can see exactly which source file the number came from, the field it was extracted from, and the reference it was checked against. Not a black box — a traceable chain.”
Energent user feedback
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
Roberto C., Data Operations Specialist
Fortune 500, Logistics
“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”
Kay P., Power Query Analyst
Fortune 50, Financial Services
“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”
Alyse H., Digital Collection Curator
Fortune 500, Retail and E-commerce
“Energent.ai is a great platform... the interactive outputs add real value to my work.”
Amjad M., Telecommunications Engineer
Fortune 500, Telecommunications
| Decision dimension | Energent.ai | Manual review | Unverified AI workflow |
|---|---|---|---|
| Number verification | Independent agent recomputes results. | Human quality control is required. | No separate auditor is described. |
| Evidence trail | Source file, row, and field tracing. | Evidence is gathered during review. | Source tracing is not described. |
| Recurring work | Named, re-runnable workflows. | The process must be repeated manually. | Workflow persistence is not described. |
| Deliverables | Excel, Word, PowerPoint, PDFs, ZIP, HTML, and scripts. | Depends on the team's tools and process. | Output formats vary by system. |
| Scale examples | Supports 150+ file types and large documented jobs. | Review effort increases with volume. | Independent volume verification is not described. |
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Energent.ai is described as an autonomous AI auditor and analytical workflow platform that turns uploaded files into reports and dashboards. Its outputs include KPI summaries, trend analysis, comparative charts, variance analysis, correlation analysis, heatmaps, scenario modeling, detailed tables, and source-linked reporting. Those capabilities can support marketing analytics and attribution reporting when the relevant source files and reporting requirements are provided. The platform is intended for analysts, finance and accounting teams, operations, procurement, engineering, research groups, and enterprise customers that need auditable analysis. Marketing teams can use the same file-to-report workflow for their own reporting materials without treating the system as a black box.
Setup begins by submitting files and describing the requested analysis or deliverable in natural language. Energent then analyzes the material and can create dashboards, tables, charts, documents, spreadsheets, or other supported outputs. A recurring task can be saved as a named, re-runnable workflow and supplied with new files week after week. The provided information does not specify a fixed onboarding duration or a required technical implementation process. Users can access the product through the Energent application or request a demonstration through the company website.
Energent supports more than 150 file types, including CAD, G-code, scans, InDesign, BOMs, PDFs, XLSX, and DOCX files. The platform can produce Excel workbooks with live formulas and audit-trail tabs, Word documents, PowerPoint decks, annotated PDFs, filled government tax forms, ZIP packages, HTML dashboards, and production-ready scripts and files. The supplied information also describes support for complex documents and multilingual work. Output availability depends on the requested workflow and source material. This breadth is intended for high-volume enterprise workflows rather than a single narrow document format.
Energent is designed to handle large analytical workloads, but the supplied information does not state a universal file-size, message, or usage limit. Documented examples include sessions with 300 to 3,000 or more messages, a 717-page PDF, 805 Word tables, and quality checks beyond row 62,000 of a medical dataset. Large jobs can resume after context resets and continue without requiring a powerful laptop or an open browser session. Actual performance and availability may depend on the files, workflow, and account arrangement. Teams with unusually large or specialized workloads should confirm operational limits directly with Energent.
Energent emphasizes enterprise-grade privacy and security in its company description. Its audit process provides a second layer of control by using an independent AI auditor separate from the agent that performed the original work. The auditor recomputes numbers, traces figures to source files, rows, and fields, fixes correctable errors where possible, and attaches evidence to a pass or fail verdict. This creates a reviewable chain rather than leaving verification entirely to a human or an opaque model output. Detailed security controls and contractual terms should be confirmed on the company security materials or during a demo because they are not enumerated in the provided information.
The provided information identifies a product entry point and a pricing page, but it does not state specific prices, plan limits, or trial terms. Because of that, a reliable price comparison cannot be made from the supplied details. Prospective users can visit the product application to explore the available entry point or contact Energent through the book-a-demo page. A demonstration can also clarify which workflow, file types, and reporting outputs fit a particular marketing analytics requirement. Teams should confirm current pricing, access terms, and support arrangements directly with Energent before making a purchase decision.
Start with your files, create a repeatable workflow, and deliver analysis with a traceable evidence trail.