Here AI/Mira

One agent platform.The entire Customer Lifecycle

Mira brings together the intelligence, persistent memory, orchestration, execution and governance required to deploy autonomous agents across the entire Customer Lifecycle.

It connects to the systems and data organizations already use, builds an evolving understanding of every customer, and enables agents to take action, while organizations maintain governance, oversight and control.

[ CUSTOMER LIFECYCLE ] CONTINUOUS ACQUIREENGAGERETAINGROW MIRA
[ Running Mira today ]

Running Mira today: FinPoints, Alibaba Group, Morph, Ctrl Media Limited, Prestige Partners Trading, Surplus, Behave, Pika, Massachusetts Institute of Technology.

[ What Mira does ]

Four stages. One continuous Customer Lifecycle

Customer context is distributed across systems, conversations, transactions, workflows and teams. Mira brings that context together through one agent platform so understanding can move continuously across acquisition, engagement, retention and growth.

01 [ SCAN ] FIELD / 01

Acquire

Mira continuously gathers signals to identify opportunities and understand evolving customer trends and preferences, helping organizations refine who they reach, when they reach them, and how relationships begin.

02 [ CONTEXT ] MEMORY / 02

Engage

Mira coordinates conversations, follow up, recommendations, workflows and actions using the evolving context of each relationship, learning from outcomes and changing conditions.

03 [ OUTREACH ] SIGNAL / 03 A · FOLLOW-UP B · NEXT ACTION C · WIN-BACK

Retain

Persistent customer memory preserves preferences, history, commitments, interactions and outcomes so every engagement can build on what came before.

04 [ RUNTIME CHECK ] POLICY / 04 PASS PASS ESCALATE PASS

Grow

Mira uses the accumulated understanding of each relationship to identify relevant opportunities for deeper engagement, expansion or reactivation.

[ The Mira platform ]

Four modules. One agent platform

Four connected modules bring the Customer Lifecycle together with shared context, execution and governance.

[ ARCHITECTURE ] MODULES / 04 02 MIRA ENGAGE CONVERSATIONS, FOLLOW UP, ACTIONS 01 MIRA REACH ACQUIRE IDENTIFY OPPORTUNITIES 04 MIRA CORE PERSISTENT MEMORY RELATIONSHIP CONTEXT 03 MIRA GROWTH RETAIN AND GROW RETENTION, EXPANSION CORE / VERIFICATION EVERY ACTION VERIFIED AGAINST POLICY, BRAND AND COMPLIANCE BEFORE IT LEAVES
01

Mira Reach

Acquire. Identify opportunities, understand audiences, and initiate new customer relationships through the channels your organization controls.

02

Mira Engage

Engage. Build customer understanding and coordinate conversations, follow up, recommendations and actions across the relationship.

03

Mira Growth

Retain. Grow. Maintain relationships, recognize changes in customer behavior, reactivate engagement, and identify opportunities to create additional value.

04

Mira Core

Connect. Remember. Govern. The shared intelligence, persistent memory, system connections, permissions and governance behind every Mira agent.

[ Inside Mira ]

Visibility without constant supervision

See which agents are active, what work is underway, which decisions require human involvement, and what actions have already been taken. When human judgment is required, Mira brings the relevant context forward so teams can act without reconstructing the relationship from scratch.

A walkthrough of the Mira workspace. It opens on four agents, one for each stage of the customer lifecycle, then moves to the inbox of work waiting on a person, then to a drafted renewal reply shown beside the pipeline that produced it: received, matched to a customer record, matched to a playbook, drafted, screened, shielded, awaiting approval. The reply is approved, and the run appears in the activity log.

Mira drafts the reply. The decision stays yours.

[ Integrations ]

Connected to the systems where your Customer Lifecycle already lives

Mira reads context from connected systems and coordinates actions across them, extending the technology organizations already rely on rather than replacing it. Your systems remain your sources of truth.

01

Client systems, where the relationship already lives

  • HubSpot
  • Salesforce
  • Microsoft Dynamics 365 Sales and Dataverse
  • Zoho CRM
  • Pipedrive
  • Zendesk
  • Jira
  • GitHub
02

Channels, where the conversation happens

  • Email
  • Slack
  • Telegram
  • WhatsApp
  • Discord
[ Persistent memory ]

Every interaction builds the relationship

Mira maintains persistent customer memory across systems, channels, workflows and time so each interaction can build on what the organization already understands.

Every interaction builds the relationship

What is learned during acquisition informs engagement. Engagement strengthens retention. Retention creates opportunities for growth. And what those relationships teach can improve future acquisition.

Start with the data you already have

Mira connects to existing customer, product, content and operational data rather than creating another disconnected source of customer context.

[ Governance ]

Autonomy without surrendering control

Organizations determine what Mira can operate autonomously, what requires approval, and what remains under human control. Governance is not added after execution. It is part of execution.

01

Verify before execution

Actions can be evaluated against organizational policies, permissions, business rules, compliance requirements, approved information and brand standards before execution.

02

Set the boundaries of autonomy

Sensitive actions can require human approval, while established workflows can operate independently. Those boundaries remain under the organization's control.

03

Ground claims in your data

Customer facing facts can be verified against designated sources of truth before execution.

04

Maintain an audit trail

Agent actions can be logged with the relevant data, configuration, disclosures, approvals and execution context.

[ Deployment ]

Mira runs inside your environment

Mira is deployed inside your organization's environment, keeping customer data and deployment specific context under your control.

01

Deployed inside your environment

Mira runs inside your organization's environment, keeping customer data and deployment specific context under your control.

02

No telemetry returns to Here AI

No usage data leaves your deployment.

03

You control the encryption architecture

The keys to your deployment stay with your organization.

04

Your data does not train a shared model

Customer data is not used to train a shared Here AI model serving other customers.

How a deployment works
[ Business outcomes ]

What continuous execution makes possible

3.5×
Engagement capacity

More relationships managed per operator.

+23%
Revenue per customer

More opportunities to maintain and grow valuable relationships.

<15s
Response time, 24/7

Customer engagement continues when teams are offline.

62%
Lower cost to serve

Fewer manual handoffs and less repetitive coordination.

[ Industries ]

One agent platform. Different customer relationships

Mira applies the same Acquire, Engage, Retain and Grow model to the systems, requirements and relationships of different industries.

[ Why now ]

Software is moving from recording work to executing it

1990s / SYSTEMS OF RECORD
2010s / SYSTEMS OF ENGAGEMENT
NOW / SYSTEMS OF EXECUTION
[ FAQ ]

Questions we get asked

If yours is not here, ask us directly.

Book a session →
What is Mira?
Mira is one AI agent platform for the entire Customer Lifecycle. It enables organizations to deploy autonomous agents that acquire, engage, retain, and grow customer relationships while maintaining governance, oversight, and control.
How is Mira different from a CRM?
A CRM records and organizes customer information. Mira works across those systems to gather context, coordinate workflows, and take permitted actions. Mira does not replace the CRM. It makes the information across your existing systems actionable.
What can Mira do autonomously?
As much as the organization permits. You determine what Mira can execute independently, what requires approval, and what remains under human control.
Where does Mira run, and what happens to our data?
Mira is deployed inside your organization's environment. Customer data and deployment specific context remain under organizational control and are not used to train a shared Here AI model serving other customers.
What does Mira connect to?
Mira connects to the systems where customer information and work already live, including HubSpot, Salesforce, Microsoft Dynamics 365, Zoho CRM, Pipedrive, Zendesk, Jira and GitHub, and the channels where customer relationships happen: email, Slack, Telegram, WhatsApp and Discord.
How is a deployment scoped?
Scope is shaped by the Mira modules deployed, systems and data connected, channels involved, and volume of Customer Lifecycle activity.
How long does it take to go live?
Deployment happens in phases: first establishing Mira inside your environment, then connecting the systems, data, workflows, and channels required for execution.
How does Mira prevent unsupported claims?
Customer facing claims can be verified against designated organizational sources before execution.
Can AI disclosure be configured?
Yes. Organizations determine where disclosure is required, and Mira can apply those rules as part of execution.
Can we review what Mira did?
Yes. Agent activity can be logged with the relevant execution context, creating an audit trail of what happened and what informed the action.

The next step is a scoping conversation

Run your Customer Lifecycle through Mira. Tell us where your customer relationships live today, the systems, data, channels and workflows involved, and where autonomous execution can create the most value. From there, we define how Mira connects to your organization and where governance, approval and human oversight apply.