Last updated 08-15-2026
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Pigment AI
Pigment AI layers native agents on top of Pigment's business planning platform so finance, sales, HR, and supply chain teams can analyze, model, and scenario-plan in one workspace. The Analyst Agent scans live metrics for anomalies and drafts reports, the Modeler Agent turns natural-language intent into governed financial models, and the Planner Agent simulates scenarios with recommendations. Assistants for data, navigation, and documentation sit alongside ML Predictions that forecast revenue, expenses, or headcount from live drivers.
Unlike generic chatbots bolted onto spreadsheets, Pigment's agents run inside the same models and permissions as your plans, with a Supervisor Agent routing tasks and an MCP server that lets external tools like ChatGPT or Claude query governed Pigment data. Customer stories cite Supercell cutting P&L actual updates from eight days to four minutes and Carta trimming data aggregation time by 80 percent, which signals the product targets heavy planning cycles rather than one-off prompts.
Pigment AI fits FP&A leaders, strategic finance managers, RevOps owners, and integrated business planning directors at mid-market and enterprise companies. Gartner and G2 ratings of 4.7 and 4.6 appear on the site, and logos include Siemens, Figma, Unilever, and ServiceNow. Access runs through pigment.app with demos requested on pigment.com.
Analyst Agent scans metrics, flags anomalies, and builds reports automatically
Modeler Agent creates governed financial models from natural-language prompts
Supercell case study cites P&L actual updates dropping from 8 days to 4 minutes
Carta reports an 80 percent reduction in data aggregation time with Pigment agents
Pigment MCP server connects governed models to ChatGPT, Claude, and other AI tools
Predictions feature generates ML forecasts for revenue, expenses, or headcount inside models
Agents run inside governed Pigment models instead of disconnected chat windows.
Documented customer metrics like 80 percent faster aggregation at Carta and 12 hours saved monthly at Fivetran.
MCP server extends planning context to external AI assistants with access controls.
Multiple assistants cover data questions, workspace navigation, and in-product documentation.
Thumbs up and down feedback loops help Pigment monitor response quality.
No public self-serve pricing; every evaluation starts with a sales demo.
Planner Agent capabilities are still marked coming soon on the product page.
Stored gopigment.com URL redirects to pigment.com, which can confuse older bookmarks.
What agents does Pigment AI include?
Pigment AI ships Analyst, Modeler, Planner, and Supervisor agents plus optional custom agents. The Analyst scans data and drafts reports, the Modeler builds models from prompts, the Planner runs scenarios, and the Supervisor routes work across the network.
Does Pigment AI train on customer data?
No. Pigment states its agents are trained on contextual planning best practices, not customer data. Customer information stays separate, and Pigment's LLMs do not train on or store tenant records.
How do I get access to Pigment AI?
Pigment AI is sold through enterprise demos rather than self-serve checkout. Teams sign in at pigment.app after onboarding and can request a demo or join the live demo series from pigment.com.
What is the Pigment MCP server?
The Pigment MCP server gives external AI platforms governed access to Pigment models, metrics, and agents through the MCP standard. It lets tools like ChatGPT or Claude answer questions using live planning data instead of static exports.
Will Pigment AI replace finance analysts?
Pigment positions agents as augmenting analysts by automating variance checks, reconciliations, and report assembly. Humans remain in the loop to validate recommendations and steer strategy.
What ratings does Pigment publish?
Pigment AI's marketing page lists a 4.7 out of 5 Gartner rating and a 4.6 out of 5 G2 rating for the Pigment planning platform, with links to each review hub.