Elements for Agentforce

Elements.cloud is the platform of choice for implementing Agentforce, providing a clear and collaborative design approach.

Build AI agents faster

Ensure reliability with structured instructions

Stay compliant with built-in governance

Some of the clients we have helped

Why use Elements.cloud for Agentforce Implementation?

Quickly identify and articulate agent use cases

Collaborate with stakeholders on scope and guardrails

Design complete, working agents with clear logic and behavior using AI

Identify and capture requirements for actions and use AI to generate user stories

Accelerate Agent development by automating instructions

Faster evaluation, testing and debugging with AI generated test cases

Provide governance and stakeholder sign-off of diagrams and user stories

Control org complexity and tech debt with Agent metadata in the core metadata dictionary

Provide a change log of diagram, instruction and test cases versions

Smart features that accelerate Agentforce

Without a clear, process-led approach, designing and deploying autonomous AI agents can be complex. That’s why we developed Elements.cloud for Agentforce —to provide you with the clarity, control, and confidence to design, build, and manage Agentforce agents effectively.

Whiteboard on ideas for agents that reinvent the business

Use AI to help ideate on use cases and provide the initial agent design.

Collaborating with cross-functional teams to fine tune the agent design and get everyone on the same page.
Keep track of your agents with their skills, topics (JTBD), instructions, and actions in an AIM (Agent Interaction Map).

Use AI to evaluate and suggest improvements to the agent design diagram before you waste time building and testing the agent.

Accelerate building topics with one-click automated instruction generation.

Use AI to generate user stories for metadata changes to support actions.

Ensure thorough test coverage. Each scenario – not just the “happy path” – is evaluated with the AI-generated test utterances.

Accelerate debugging by using the diagram to understand the changes required.

Iterate rapidly with confidence with an audit trail of diagram changes alongside the instructions and test utterances.

Apply light touch, yet rigorous governance. Design iterations are tracked in the audit trail. When you deploy the agent, version the design documentation with a formal sign-off.

Eliminate the risk of changes. Agent and Data Cloud metadata is automatically added to the metadata dictionary with impact and dependency analysis to the core metadata.

Get more achieved with your team by collaborating in live agent process mapping sessions with everyone on the same page.

Rapidly capture processes, then use diagrams to validate requirements, guide user acceptance testing, provide training and meet regulatory compliance.

Why the worlds leading teams trust us

97 %

Faster impact analysis than with most other vendors

6 days

from idea to production for a complex agent

 I’m so excited about seeing such a clear process-based overview of what the agent is supposed to do

Miriam McCabe Sr Director, Global Delivery Innovation, Salesforce

Frequently asked questions

Agents use a reasoning engine to plan and take actions autonomously based on natural language but requires user input. Copilots can understand natural language but requires user guidance to perform a task.

Yes. Agentforce uses Prompt Templates, but they can be used independently using AI to deliver actionable outcomes such as account summaries or personalized emails.

Agentforce needs Data Cloud to be able to monitor and build event logs of agent activity. If Agentforce agents need data or unstructured data from 3rd party systems, then you should use Data Cloud as it is tightly integrated.

We are currently adding these new metadata types to the sync. Then they will automatically have all the notification, documentation, impact analysis, and dependency functionality.

We are prototyping a number of Agents that can accelerate the design, build, and monitoring of agents. Some are already available.  We can draw process diagrams from text or images. We can write user stories for processes and suggest which metadata can be reused.

But we can see even more opportunities to build agents that build agents.