Meet your new team members

With the introduction of AI agents, Pigment is opening the door on a whole new era of planning.

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Analyst agent
Analyst agent
Analyst agent
Analyst agent
Analyst agent
Analyst agent
Planner agent
Planner agent
Planner agent
Planner agent
Planner agent
Planner agent
Modeler agent
Modeler agent
Modeler agent
Modeler agent
Modeler agent
Modeler agent

A new suite of AI agents

Say hello to the Analyst, Planner, and Modeler - three specialized business planning and performance agents designed to work together to make your life significantly easier.

Analyst

Agent

Overview

Analyzes information from internal and external sources to identify trends, detect anomalies and build a comprehensive picture of the drivers behind data and performance patterns.

Presents insights in multiple formats - dashboards, reports, slide decks and audio - and offers actionable recommendations.

In action…

An executive asks:

“What’s driving changes in our revenue?

”The Analyst retrieves the relevant information, explains the underlying patterns, providing visual context and actionable recommendations.

Core competencies

Data analysis

Storytelling

Continuous monitoring

Planner

Agent

Overview

Collaborates with the Analyst agent to translate insights into actionable steps.

Empowered with domain expertise in finance, supply chain and operations, the Planner proactively makes recommendations based on factors including company goals and market conditions.

In action…

A demand planner needs a weekly forecast update every Sunday night.

They are now able to rely on the Planner Agent - which automatically runs, compares, and proposes forecast recommendations based on past and present datasets.

Core competencies

Domain knowledge

Forecasting

Scenario planning

Modeler

Agent

Overview

Autonomously builds and updates the models that underpin Pigment and serve as the foundation on which the Analyst and Planner agents operate.

It maintains these models based on business changes and performs data quality checks, ensuring real-time accuracy and relevance.

In action…

A financial analyst is struggling to build a complex forecasting model.

The Modeler steps in, generating the right formulas, flagging inefficiencies, and offering suggestions. As the model evolves, it proactively suggests further optimizations.

Core competencies

Modeling

Workflows

Optimization

Frequently Asked Questions

What are AI agents?

Unlike generative AI assistants that respond and react to requests, AI agents are proactive, and work autonomously and collaboratively to make decisions and handle complex tasks.

Rather than simply executing on commands, agents can receive broad objectives and proactively and autonomously deliver on them. Their power lies in their ability to collaborate - forming a network of specialized agents that work together to achieve optimal outcomes.
For example: 
- The analyst AI agent identifies trends, anomalies, and key business drivers, offering insights in multiple formats.
- The planner AI agent translates insights into actionable strategies, considering company goals and market conditions.
- The modeler AI agent ensures data accuracy by autonomously updating models and optimizing workflows.

By working together, agentic AI technology boosts efficiency, improves decision-making, and unlock new levels of business agility across finance, revOps, HR and supply chain teams.

Will AI agents replace workforces?

No. Agents are designed to augment, not replace, human teams. It’s about AI and humans working together to unlock new levels of efficiency and performance.

Rather than replacing jobs, AI agents will help you better understand your business, make sense of data, model different scenarios, and allow you to spend more time on strategic work instead of number crunching.
They will:
- Enhance productivity - taking on time-consuming, complex, manual tasks
- Improve decision-making - provide better insights, faster
- Level up the workforce - shift focus from execution to strategy

For example, an FP&A analyst who typically spends hours gathering and reconciling financial data can now rely on the Analyst agent to automate variance analysis, detect anomalies, and generate reports. This allows them to focus on strategic financial planning, scenario modeling, and advising leadership on key decisions.

What benefits will Pigment’s Agents bring to customers?

The introduction of AI Agents opens a new set of possibilities within business planning and performance management where workforces will be augmented by digital ones.

They enable teams to:
- Move faster: make incremental gains everywhere - from accelerating insights to simulating scenarios - and move quickly from plan to execution, with AI-powered modeling and reporting.
- Make better decisions: boost collaboration and alignment, with intuitive capabilities including AI-powered search so any team member can contribute with their expertise and swiftly move into execution.
- Achieve goals: drive operational excellence with AI that understand your business and adapts to changing conditions.

The result is significant productivity gains and better business outcomes - exactly what today's stretched teams need to succeed in a fast-changing environment.

Do you use customer data to train Pigment’s agents?

No. The models we have built are trained on contextual information and business planning best practices. Customer data is kept separate and confidential and our LLMs do not train on or store any customer information.

Can users provide feedback on AI responses?

Yes! Users can rate the AI answers with thumbs up/down responses. By monitoring these responses, we can detect hallucinations and continuously improve our accuracy.

How will Pigment guarantee the accuracy of the insights and recommendations coming from Pigment’s AI Agents?

We can’t guarantee the accuracy of insights and recommendations. Our agents are always designed to be used with human oversight and supervision.
Users can provide feedback on AI responses by giving a thumbs up/down rating. By monitoring these responses, we can detect hallucinations and continuously improve our accuracy.