MEET IRIS
Get the Benefits of AI Without Becoming the Expert
Get the Benefits of AI Without Becoming the Expert
We find the repetitive work costing your business time and money, then build AI agents to handle it. Your team gets more time for customers while we handle the technical implementation.
HOW IT WORKS
Iris Turns Company Goals Into Coordinated Execution
Custom agents collect company context, understand what needs to happen next, and execute across your tools to keep operations moving.
HOW IT WORKS
Iris Turns Company Goals Into Coordinated Execution
Custom agents collect company context, understand what needs to happen next, and execute across your tools to keep operations moving.
HOW IT WORKS
Iris Turns Company Goals Into Coordinated Execution
Custom agents collect company context, understand what needs to happen next, and execute across your tools to keep operations moving.
WORK ACROSS YOUR TOOLS
Run Workflows Across the Tools Your Team Already Uses
Iris connects your CRM, email, docs, and project tools so work moves forward without manual handoffs or copy-pasting between apps.
Book a demo
Book a demo
BUILT FOR BUSINESS RESULTS
Start With One Process. Expand What Works.
We map the steps, connect the required systems, and configure agents around your operating rules. Compare the output and effort against the current process before extending the implementation.
Company Memory
Key decisions, customer context, and operating knowledge stay available across teams and workflows.
Custom Skills
Your processes, tool usage, and approval rules become repeatable skills agents can execute.
AI IN YOUR OPERATIONS
Automate Research, Onboarding, and Reporting
Custom agents inside your existing workflows
Turn incoming requests into account briefs, onboarding checklists, record updates, and recurring reports. Agents handle the agreed steps while your team reviews exceptions and decisions that need a person.
RESEARCH AND REPORTING
Gather information from approved sources, prepare briefs and recurring reports, and flag missing information for review.
CUSTOMER ONBOARDING
Turn sales notes and agreed requirements into onboarding checklists, tasks, and draft customer communications.
MEASURABLE RETURN
Compare completion time, review effort and execution cost against your manual process to see where automation earns its place.
Upgrade Your Operations Without Replacing Your Software
Works with your existing stack
Put agents to work inside your existing apps and internal systems. Custom integrations let them retrieve information and take approved actions across the same process.
Choose supported models for quality, speed and cost while keeping your workflows, integrations and company memory independent of any one provider.
AI IN YOUR OPERATIONS
Automate Research, Onboarding, and Reporting
Custom agents inside your existing workflows
Turn incoming requests into account briefs, onboarding checklists, record updates, and recurring reports. Agents handle the agreed steps while your team reviews exceptions and decisions that need a person.
Upgrade Your Operations Without Replacing Your Software
Works with your existing stack
Put agents to work inside your existing apps and internal systems. Custom integrations let them retrieve information and take approved actions across the same process.
MEASURABLE RETURN
Compare completion time, review effort and execution cost against your manual process to see where automation earns its place.
CUSTOMER ONBOARDING
Turn sales notes and agreed requirements into onboarding checklists, tasks, and draft customer communications.
RESEARCH AND REPORTING
Gather information from approved sources, prepare briefs and recurring reports, and flag missing information for review.
Choose supported models for quality, speed and cost while keeping your workflows, integrations and company memory independent of any one provider.
AI IN YOUR OPERATIONS
Automate Research, Onboarding, and Reporting
Custom agents inside your existing workflows
Turn incoming requests into account briefs, onboarding checklists, record updates, and recurring reports. Agents handle the agreed steps while your team reviews exceptions and decisions that need a person.
CUSTOMER ONBOARDING
Turn sales notes and agreed requirements into onboarding checklists, tasks, and draft customer communications.
Upgrade Your Operations Without Replacing Your Software
Works with your existing stack
Put agents to work inside your existing apps and internal systems. Custom integrations let them retrieve information and take approved actions across the same process.
RESEARCH AND REPORTING
Gather information from approved sources, prepare briefs and recurring reports, and flag missing information for review.
MEASURABLE RETURN
Compare completion time, review effort and execution cost against your manual process to see where automation earns its place.
Choose supported models for quality, speed and cost while keeping your workflows, integrations and company memory independent of any one provider.
QUESTIONS ABOUT IRIS
Everything You Need to Know Before Deploying Iris
How Iris integrates with your systems, runs across teams, handles company data, and adapts to your operating environment.
Tell us which workflow you want to improve. We’ll help define the implementation.
Talk to Us
Talk to Us
Can Iris Be Integrated Into Our Enterprise Environment?
Yes. Iris can be deployed in different ways depending on your infrastructure and data requirements. For standard deployments, Iris can connect to approved business systems and operate across the tools your teams already use. For companies that need more control, Iris Enterprise is designed to support a customer-controlled private cloud or a separately scoped on-premises deployment. Enterprise deployments can also include SSO, role-based access, private model endpoints, policy-based model routing, scoped credentials, action approvals, and audit records.
Can Iris Be Integrated Into Our Enterprise Environment?
Yes. Iris can be deployed in different ways depending on your infrastructure and data requirements. For standard deployments, Iris can connect to approved business systems and operate across the tools your teams already use. For companies that need more control, Iris Enterprise is designed to support a customer-controlled private cloud or a separately scoped on-premises deployment. Enterprise deployments can also include SSO, role-based access, private model endpoints, policy-based model routing, scoped credentials, action approvals, and audit records.
How Does Iris Integrate With Our Existing Tools?
Iris works across the systems already used to run your company, including CRM, email, documents, project management tools, internal databases, and other business applications. Agents can retrieve information from those systems, combine it into the context needed for a workflow, and take approved actions such as preparing updates, creating tasks, drafting follow-ups, or updating records. Standard connectors support defined actions, while custom integrations can extend Iris into internal software and specialized workflows.
How Does Iris Integrate With Our Existing Tools?
Iris works across the systems already used to run your company, including CRM, email, documents, project management tools, internal databases, and other business applications. Agents can retrieve information from those systems, combine it into the context needed for a workflow, and take approved actions such as preparing updates, creating tasks, drafting follow-ups, or updating records. Standard connectors support defined actions, while custom integrations can extend Iris into internal software and specialized workflows.
What Work Can Iris Handle?
Iris is designed for recurring operational work where information has to be collected, understood, coordinated, and turned into action. That can include preparing account and meeting briefs, researching companies and markets, monitoring customer renewals, identifying blockers across projects, preparing CRM updates, drafting follow-ups, coordinating hiring processes, producing recurring reports, investigating engineering issues, and tracking commitments and next steps. Different Iris applications are designed around Operations, Sales, Customer Success, Research, Recruiting, Executive Assistance, and Engineering.
What Work Can Iris Handle?
Iris is designed for recurring operational work where information has to be collected, understood, coordinated, and turned into action. That can include preparing account and meeting briefs, researching companies and markets, monitoring customer renewals, identifying blockers across projects, preparing CRM updates, drafting follow-ups, coordinating hiring processes, producing recurring reports, investigating engineering issues, and tracking commitments and next steps. Different Iris applications are designed around Operations, Sales, Customer Success, Research, Recruiting, Executive Assistance, and Engineering.
How Are Iris Agents Customized for Different Departments?
Each department can have agents built around the workflows that matter to that team. A Sales agent might understand the company’s account-review process, use CRM and email, prepare call briefs, and suggest record updates. An Operations agent might track project commitments, identify blockers, and prepare follow-ups. Customization includes workflow steps, connected systems, information access, output format, approval requirements, and permitted actions.
How Are Iris Agents Customized for Different Departments?
Each department can have agents built around the workflows that matter to that team. A Sales agent might understand the company’s account-review process, use CRM and email, prepare call briefs, and suggest record updates. An Operations agent might track project commitments, identify blockers, and prepare follow-ups. Customization includes workflow steps, connected systems, information access, output format, approval requirements, and permitted actions.
How Does Company Memory Work?
Iris can maintain useful company context across workflows instead of treating every request like a new conversation. That can include account history, previous decisions, operating playbooks, project context, saved preferences, and past workflow results. When relevant and authorized, that information can be used in future work. Access still follows the company’s permissions, so shared memory does not mean every employee or agent automatically gains access to every piece of company information.
How Does Company Memory Work?
Iris can maintain useful company context across workflows instead of treating every request like a new conversation. That can include account history, previous decisions, operating playbooks, project context, saved preferences, and past workflow results. When relevant and authorized, that information can be used in future work. Access still follows the company’s permissions, so shared memory does not mean every employee or agent automatically gains access to every piece of company information.
Can Different Teams Use Iris Together?
Yes. Iris can support workflows that move across departments while keeping access scoped to the people and systems involved. For example, a customer renewal can involve Sales, Customer Success, Legal, Finance, and Engineering. Iris can carry authorized customer context and outstanding commitments into that workflow, identify what is blocking the outcome, and coordinate the next actions. Each person still operates within their permissions.
Can Different Teams Use Iris Together?
Yes. Iris can support workflows that move across departments while keeping access scoped to the people and systems involved. For example, a customer renewal can involve Sales, Customer Success, Legal, Finance, and Engineering. Iris can carry authorized customer context and outstanding commitments into that workflow, identify what is blocking the outcome, and coordinate the next actions. Each person still operates within their permissions.
Which AI Models Can Iris Use?
Iris is designed to be model-agnostic. Different supported models can be used depending on the task, required capability, cost, speed, and the company’s data policies. For Enterprise deployments, model selection can also depend on where the information is allowed to be processed. The company’s workflow, memory, permissions, and integrations do not need to be built around one model provider.
Which AI Models Can Iris Use?
Iris is designed to be model-agnostic. Different supported models can be used depending on the task, required capability, cost, speed, and the company’s data policies. For Enterprise deployments, model selection can also depend on where the information is allowed to be processed. The company’s workflow, memory, permissions, and integrations do not need to be built around one model provider.
Get an AI Integration Plan for Your Company
Book a demo and we’ll identify one recurring process, the systems it uses, and the requirements for a working implementation. Start with a clear scope and a measurable result.