Coming Soon

AI customer support that actually resolves cases.

Most AI chatbots deflect to humans. Resolve uses agents to look up accounts, change settings, issue refunds, and close tickets — escalating only when it should. Coming soon.

What is Resolve?

Resolve is an AI customer support product built around agents that take action. It ingests your knowledge base, connects to your account systems, and handles inbound support across email, chat, and portal. Where traditional AI chat deflects, Resolve resolves — looking up records, changing settings, processing refunds, and only escalating to humans when judgement is genuinely required.

How does Resolve work?

You point Resolve at your knowledge base and grant it scoped access to the systems where customer accounts live. When a ticket comes in, an agent reads the request, identifies the customer, decides the appropriate action, executes it, and replies. Every action is logged and reviewable. Escalation policies let you draw clear lines around what the agent can and cannot do unilaterally.

What Resolve ships with

Five capabilities that turn AI from a deflection tool into a resolution tool.

Agent-Led Resolution

Agents read the ticket, identify intent, take action against your systems, and write the response. Not retrieval-augmented chat — actual case work.

Knowledge Base Ingestion

Point Resolve at your help center, internal docs, or runbooks. The agent uses them as grounding for every response and every action it takes.

Escalation Policies

Draw the line. Refunds over $X go to a human. Account deletions require human approval. Resolve respects the policy and escalates cleanly.

Multi-Channel Support

Email, chat, and a hosted support portal. One agent handles all three with shared context and a single case record.

Resolution Analytics

See actual resolution rate, escalation rate, customer satisfaction, and cost per case. The metrics that matter, not vanity deflection counts.

Who is Resolve for?

Resolve is for support teams drowning in repeat tickets — password resets, plan changes, refund requests, status checks — and product teams whose engineers keep getting pulled into Tier 1 support work. Mid-market SaaS, e-commerce, and B2B services where most tickets follow a script that an agent can run.

Why Resolve instead of Intercom Fin or a Salesforce Agentforce setup?

Intercom Fin and similar tools are excellent retrieval-augmented chatbots — they answer questions well, but most still hand the ticket to a human for actual changes. Agentforce is powerful inside Salesforce but assumes you're already on Service Cloud. Resolve is built for teams who want action-taking agents without the Salesforce stack underneath. It connects to whatever account systems you already use.

Frequently asked questions

It means the agent doesn't just answer questions — it takes the action the customer asked for. Reset a password. Change a plan. Issue a refund. Update an address. Cancel a subscription. The customer gets the outcome, not a transcript.
Escalation policies. You define which actions require human approval — refunds over a threshold, deletions, plan downgrades, anything financial above your comfort line. Resolve enforces the policy and escalates cleanly when needed.
Stripe (subscriptions, refunds), Auth0 / Clerk / Cognito (account changes), Postgres / your own API (custom fields, plan settings), Zendesk / Intercom / HelpScout (ticket sync), and Salesforce (cases, contacts). Custom connectors are supported via webhooks and tools.
No. Resolve handles the volume of repeat, scriptable tickets so your humans handle the cases that need judgement, empathy, or domain expertise. Most customers see a 50–70% resolution rate by the agent and a meaningful drop in median response time.
Grounded. The agent retrieves from your knowledge base before responding, cites sources internally, and only acts within the tool capabilities you've granted. If it can't find a grounded answer, it escalates instead of guessing.
Resolve is in active development. Sign up for the waitlist and we'll send you a heads-up before the first design partner cohort opens. Early customers get founding-customer pricing.

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