Agents built around how your support team works

Turn the workflows your best engineers follow into production-ready agents that investigate, troubleshoot, act, and escalate across your systems.

Trusted by technical support teams at

Equip agents to work cases like your support engineers do

Turn how your team investigates, decides, acts, and escalates into a workflow you can read, change, and deploy without engineering resources.

Work across your systems

Read and act across Salesforce, Zendesk, Jira, Slack, observability tools, databases, knowledge sources, and 100+ other systems.

Use the right tool for the job

Search knowledge, query SQL, analyze files, execute code, call APIs, or use MCP tools as part of the investigation.

Choose the LLM

Use the model that performs best for each agent and change it without rebuilding the workflow.

Keep complex investigations focused

Behind every workflow, Mosaic AI manages how agents use context, tools, and models so multi-step technical support investigations stay accurate, fast, and efficient as they scale.

Break complex work into 
focused tasks

Use sub-agents, isolated context windows, and parallel execution to investigate across systems without one ever-growing chain of tool calls.

Keep the right information 
in play

Preserve useful findings and keep unnecessary intermediate data from overwhelming the investigation, so the agent can stay focused on what matters.

Ground conclusions in evidence

Tie findings back to the cases, logs, defects, and records that produced them so the agent can act on evidence instead of a confident guess.

Define how every agent operates

Set what each agent can do, what systems and data it can use, and the operating rules it follows as it works a case.

Control what it can do

Mosaic AI works through the Chrome extension alongside your support stack, so reps can investigate and act without switching workspaces.

Control what it can access

Define the systems, records, and actions available to each agent.

Control the rules it works by

Give agents the same operating policies your team already follows.

Put the agent where the work happens

Once an agent is ready, deploy it wherever the work happens.

For your support team

Alongside the case

Agents investigate and act while reps work in Salesforce, Zendesk, Jira, or ServiceNow.

For your customers

Before a case reaches the queue

Deploy agents inside your product, support portal, help center, email, or other customer-facing experience.

Automated

Run in the background

Trigger an agent automatically from a new case, alert, account event, or workflow.

“We scaled our Mosaic AI deployment from production pilot to full adoption across multiple business units in under 10 weeks.”
President and GM, AssetWorks
39%
lower cost to serve across AssetWorks' support organization
Read the case study

See it work on your cases before you commit

Book a demo
  1. 1. Discover

    We analyze your real case data, at no cost, to find where time, effort, and spend accumulate, what can be automated, and how much it would lower your cost to serve.

  2. 2. Prove

    You get a live environment built for your top use cases, running on your own systems, using your own case history. You see the result before you sign anything.

  3. 3. Go live in weeks

    Deployed on top of Salesforce, Zendesk, and the rest of your stack. No migration, no developer resources, deployment expertise included.

Frequently asked questions

What is a no-code AI Agent Builder?

A no-code AI Agent Builder allows business users to create AI agents without engineering resources, using prebuilt workflows and simple configuration.

What is agentic AI and how are AI agents used in support?

Agentic AI describes AI agents that can reason, take actions, and follow multi-step workflows. In support, they automate tasks like ticket triage, escalation, and knowledge retrieval.

How does Mosaic AI's Agent Builder work?

Mosaic AI's Agent Builder connects to your enterprise stack (Salesforce, Zendesk, Slack, Confluence, etc.) and lets you design AI agents that automate workflows in minutes.

How do AI agents differ from knowledge-based Q&A bots?

Unlike Q&A bots that only answer questions, AI agents can complete tasks, orchestrate workflows, and trigger actions across systems.

What types of workflows can AI agents automate?

AI agents can summarize tickets, escalate bugs, update CRM records, create onboarding prompts, and even run custom playbooks.

How do LLMs power AI agent workflows?

Large language models (LLMs) give agents reasoning and language understanding, enabling them to follow complex processes while adapting to context.

What are the benefits and limitations of using AI agents in support?

Benefits include faster resolution, fewer escalations, and higher CSAT. Limitations can include governance setup, data preparation, and ensuring AI outputs are accurate.

How quickly can I deploy AI agents with Mosaic AI?

Most agents can be built and deployed in minutes using Mosaic AI's builder and role-specific templates.

What makes Mosaic AI's Agent Builder different from other AI workflow tools?

Mosaic AI was built AI-native for customer-facing teams, with 100+ integrations, secure governance, and role-specific templates.

Which teams benefit most from Mosaic AI's Agent Builder?

Support, Success, and Sales teams use Mosaic AI to automate repetitive tasks, reduce escalations, and improve customer experiences.

See Mosaic work on your hardest cases

We’ll analyze a sample of your real cases, identify where Mosaic can have the greatest impact, and show how it would work in your current support stack.