Momentum vs Mutiny (2026)

The integrations reach deep across the revenue stack and act on it. They write to 98 percent of Salesforce field types in both directions, post to Slack and Teams, and connect Zoom, Meet, Gong, Chorus, Salesloft, Outreach, Dialpad, Gmail, Outlook, Zendesk and Snowflake.

Sourcemomentum.io/integrationread 2026-10-01

The customer authorizes connections to Salesforce, HubSpot, LinkedIn and other CRM, sales engagement and data enrichment platforms, reaching account information, contact details and opportunity data through those services' APIs, plus account intelligence covering firmographics and intent signals from third party providers.

Email, calendar, document stores and call recording also connect as sources, Outreach integrates too, and the platform can be run from Slack and from any MCP client. These connections feed generation, so integration depth directly shapes output quality, not only keeping records in sync.

Sourcemutinyhq.com/products/integration, mutinyhq.com/dpa and help.mutinyhq.comread 2026-09-02

A configurable orchestration engine automates post call tasks, CRM updates, Slack deal rooms, deal desk approvals and cross team workflows. Autopilot runs in real time, Retropilot runs when a CRM event fires, and Batch runs in bulk.

Sourcemomentum.io/deal-execution-agentread 2026-10-01

Routines are written by the customer, given a schedule and tool permissions, and run multi step work unattended. In the stale deals routine, the agent reviews the CRM for opportunities with no recent activity, drafts a re-engagement email for each, builds a personalized asset to go with it, and emails the user the flagged deals and drafts for review.

The Automate collection carries the same pattern for call summaries, deal alerts, meeting prep, follow ups, forecasts and renewal updates, and skills, templates and playbooks can be combined and shared across a team. Mutiny describes no branching or conditions inside a routine beyond the loop over each deal.

Sourcehelp.mutinyhq.com Automate articlesread 2026-10-01

Work starts on events, not on a person typing, and each trigger has its own configuration guide. AI Signals workflows detect moments such as budget discussion, competitor mention or churn risk during a live call and deliver them automatically.

Retropilot fires historical analysis on Salesforce events, Autopilot processes new calls in real time, Batch runs across record lists on demand, and scheduled notifications and scheduled reports run on a clock.

The agent reaches people where they already work, not in a console of its own, through Slack deal rooms and alerts, Microsoft Teams, Salesforce notifications and field writes, and configurable automated email follow-ups.

Sourcedocs.momentum.io AI Signals, Retropilot, scheduled notifications and email follow-up guidesread 2026-09-01

Scheduled routines wake the agent, and the surfaces for input and output are wide. Routines in the Automate collection run on a schedule the customer sets, such as every Monday morning or daily for the stale deals routine, in which the agent reviews the CRM for opportunities with no recent activity, drafts a re-engagement email for each and builds a personalized asset.

Sibling routines cover call summaries, deal alerts, meeting prep, follow ups, forecasts and renewal updates, and the Free plan carries 5 routines per user and Business 20. Around that, the agent is reachable from Slack, Claude, ChatGPT and any MCP client, and the blueprint library spans 1:1 ABM pages, landing pages, outreach, event invites, follow ups, business cases, pitch decks, pricing proposals and deal rooms. Schedule options are shown by example, and there is no reference list of them.

Sourcehelp.mutinyhq.com Automate articles and mutinyhq.com/pricingread 2026-10-01

Ask Momentum grounds answers in the customer's entire conversation and deal corpus. Users query it in natural language and get instant, sourced answers, a RAG over customer interactions.

Sourcemomentum.ioread 2026-09-01

Company Context gives the agent a foundational understanding of the company in sections for product, solution, customer, brand, voice, ICP, competitor and pricing, filled in automatically from the website and edited by users, and product briefs can be uploaded.

Around it sit CRM records covering accounts, contacts and opportunity data through Salesforce and HubSpot, account intelligence covering firmographics and intent signals, call recordings and transcripts, connected email, calendar and document stores, an asset library the agent references by name, and a playbook layer.

For each request the user can attach more context, such as design screenshots, messaging documents, call transcripts and creative briefs, and CRM and integration data and account intelligence are categories Mutiny processes under the DPA.

Sourcehelp.mutinyhq.com Company Context overview, mutinyhq.com/dpa and mutinyhq.com productsread 2026-10-01

The conversation and deal corpus persists and is retrievable, but that is the knowledge Ask Momentum queries in natural language, not agent memory. No agent retains context from one call or workflow to the next, and there is no memory layer with a stated scope or lifetime. Retropilot reanalyzing historical conversations reads the stored corpus, not an agent memory.

Sourcemomentum.io Ask Momentum and docs.momentum.io Retropilot guideread 2026-09-01

Shared configuration and written context persist, but there is no agent memory. What survives across sessions is brand configuration extracted from the customer's website, templates and their prompts, skills, routines, projects and an asset library, plus Company Context. Company Context is filled in automatically from the website and then written and edited by users in sections for product, solution, customer, brand, voice, ICP, competitor and pricing, and the agent does not update it from conversations or work. There is no memory for each user or account that the agent writes and reads back.

Sourcehelp.mutinyhq.com Company Context overview and mutinyhq.com/pricingread 2026-10-01

The customer sets whether the agent's CRM writes wait for a person. In the Autopilot suite a team chooses to write data automatically, require confirmation, or only fill empty fields, so confirmation before an update commits is a product setting. Deal desk approvals are routed through Slack to the people who sign them off.

Sourcedocs.momentum.io/autopilot.mdread 2026-10-01

A person approves before the agent's work goes out, at two points. Tool calls pause for approval by default, and a routine reaches the connected CRM and email without pausing on each run only after the user sets it to auto approve its tools, an opt in for each tool. Output is drafted, not sent.

The stale deals routine emails the user the flagged deals and drafts so each one can be reviewed before sending, and assets are published only when a user clicks Publish in the editor. Around that, template prompts let an organization encode required fields, mandatory clarifying questions, locked layouts and approved assets into shared templates on Enterprise.

Sourcehelp.mutinyhq.com routines and publishing articlesread 2026-10-01

Customers set up SSO and MFA for their own administrators and end users, and five named roles govern what each user may do (Organization Admin, Editor, User Admin, Default User and Integration User, with only admins and editors configuring workflows). SSO comes with the Enterprise plan. Momentum reports SOC 2 Type 2 certification (April 2025), and the report and regular third party penetration test reports can be requested from its Vanta Trust Center at security.momentum.io. There is no customer facing audit surface.

Sourcemomentum.io/securityread 2026-10-01

Mutiny publishes a detailed schedule of security measures but still will not say which attestation it holds. Role based access control, MFA on production systems, unique user IDs and periodic access reviews with revocation on termination are in place. Data is encrypted with TLS 1.2 or higher in transit and AES-256 at rest with keys in AWS KMS.

Firewalls, network segmentation, intrusion detection, regular vulnerability scanning and penetration testing, production logging and a tested incident response plan are listed, along with a written information security policy reviewed annually, security training and background checks. Business continuity is tested annually with a four hour RTO and one hour RPO, and deletion follows NIST SP 800-88.

The contract terms are strong too, with breach notification within 48 hours, deletion within 30 days with backups purged within 90 and written certification on request, sub-processors listed in Annex B with 30 days' notice of changes, an objection right with termination as the remedy, and audit rights up to an annual on-site audit.

For AI, enterprise tier agreements with all AI sub-processors restrict training by default, those processors do not keep prompt and output data beyond the API response, and Mutiny commits not to train on personal data without consent. The attestation is hedged twice. The pricing FAQ says Mutiny is SOC 2 certified without naming the type, and Annex C says the provider has achieved or is pursuing SOC 2 Type II, which does not assert achievement. There is no trust center, no report and no named auditor. The legal entity is Mutiny HQ Corporation, a Delaware corporation.

Sourcemutinyhq.com/dpa and mutinyhq.com/faqsread 2026-09-02

Every call is recorded, transcribed, summarized and scored, and AI Signals deliver each detected moment with its context, so the conversation record is complete. That record shows what was said and how reps performed, not what the agents did. There is no run history, activity log or record of the fields Autopilot wrote, and the Salesforce field history that would show it is the customer's own system. Call evaluation and pipeline reporting observe the revenue motion, not the agent.

Sourcedocs.momentum.io/llms.txtread 2026-10-01

Analytics cover engagement with the output, but the agent cannot be audited. A seller gets deal level visibility into who engaged with which published asset, replacing what Mutiny calls the old state of having no idea whether prospects opened anything. Visitor tracking on published pages resolves IP addresses to company and firmographic data, and analytics are reachable through the MCP so a rep can ask for them in conversation. For deciding whether a champion is actually circulating the business case, that is the measurement that matters.

There is no audit log, no record separating what the agent generated from what a rep later edited, no attribution of a published asset to the person who commissioned it, no decision trail and no retention policy. Mutiny logs and monitors access to its production systems, but that is its own security monitoring, not something the customer sees. For a product whose output goes straight to customers under the company's brand, the missing record of generated versus edited content is the gap that matters.

Sourcemutinyhq.com/products/beautiful-assets, help.mutinyhq.com and mutinyhq.com/dparead 2026-09-02

Delivery is a cloud SaaS platform (Salesforce and Slack apps). Data can be pushed to a Snowflake warehouse, but there is no self host, on premises or in VPC deployment option.

Sourcemomentum.ioread 2026-09-01

Under the DPA, the customer authorizes transfer of personal data to the provider's primary processing facilities in the United States, and the data is hosted on AWS infrastructure. There is no region selection, EU hosting option, VPC, single tenant or on premises route. Enterprise offers custom MSA and DPA terms, which is contract, not deployment.

Sourcemutinyhq.com/dpa and mutinyhq.com/pricingread 2026-10-01

Named agents each aim at a named job. They are a deal execution agent, an AI sales coaching agent and customer success agents for upsell and churn detection, each with its own product page.

Alongside them come configuration guides for reusable workflows, call summaries, Autopilot, Retropilot, Batch, AI Signals, email follow-ups, Salesforce and scheduled notifications, scheduled reports and deal rooms, plus a common use cases section and a best practices guide. Methodology scorecards ship prebuilt for MEDDPICC, SPIN and Challenger. Together they form a library a customer can browse, with named agents and templates aimed at named jobs, without an open marketplace.

Sourcemomentum.io agent product pages and docs.momentum.io guide indexread 2026-09-01

Blueprints form a browsable library organized by deal stage. Sixteen named plays each have their own page and are grouped by where the deal is. Prospect holds 1:1 ABM, Vertical Landing Page, Cold Outreach and Event Invite. Evaluate holds Meeting Recap, Demo Pre-Read, Case Study, Case Study Round-Up, Competitive Comparison, Group Demo Follow Up and Pitch Deck. Negotiate holds Pricing Proposal, Executive Business Case and Deal Room, and Expand holds Forward Looking Strategy, Impact Report and Expansion ABM. Choosing one does not drop a static file.

The agent asks follow up questions and tailors the asset, so the blueprint is an interactive starting point. Two more layers sit alongside. Templates written by the customer's own organization can be shared, can carry embedded prompts and sit on a Templates page beside the blueprints, and skills, routines and playbooks come preloaded with what revenue teams commonly run, can be combined and shared, and are meant to give a rep value on day one without a GTM engineer.

Sourcemutinyhq.com blueprints library and help center templates documentationread 2026-09-02

Momentum uses several frontier models (OpenAI GPT-4 and GPT-4o plus Anthropic Claude) and routes nuanced, tone sensitive work to Claude. The routing is internal, and there is no user facing model choice, bring your own key or open routing gateway.

Sourcemomentum.io/integrationread 2026-09-01

No provider is named, and customers have no choice. Use is metered in credits, one per interaction with the Mutiny agent, so a customer sees the cost of model calls without seeing which model makes them, and there is no model selection, routing control, option to bring your own model or bring your own key.

Mutiny uses several AI sub-processors, with enterprise tier agreements restricting training by default and prompt and output data not kept beyond the API response, which says how models are used but not which they are or who picks them. The sub-processor list in Annex B is published as an image, so the providers are not named in text.

Mutiny is reachable from Claude, which reads like model flexibility but is the opposite, since Claude is a client using Mutiny, not the model powering Mutiny's agent.

Sourcemutinyhq.com/dpa, mutinyhq.com/faqs and help.mutinyhq.comread 2026-09-02

There is an API for the Momentum platform itself. An API access guide and an API reference cover endpoints to retrieve meetings and users and to work with signals. Keys are created by an administrator in the product, and an Integration User role handles API based synchronization.

Sourcedocs.momentum.io/api-access.mdread 2026-10-01

A published remote MCP server is the programmatic surface. Mutiny runs it at mcp.mutinyhq.com/mcp, with setup guides for Claude web, Desktop and Code, for ChatGPT web and Desktop, and for any client that supports remote MCP over HTTP with OAuth, including IDE integrations and custom agents. Authentication is OAuth 2.0 with scoped consent covering reading and creating assets, publishing and managing the content library.

The workspace admin controls which scopes an account may authorize, access can be revoked from the client, and Mutiny says it does not receive or log conversation history. Assets can be created through the MCP, context passed to it and analytics pulled from it, so the interface does real work, not just a connection handshake. There is no REST API reference, SDK or developer portal, so MCP is the whole programmatic surface.

Sourcehelp.mutinyhq.com Mutiny MCP collectionread 2026-09-02

The coaching agent scores rep performance against a methodology, which evaluates people, not agents. There is no testing, debugging or evaluation framework for agents that users can work with.

Sourcemomentum.io/ai-sales-coaching-agentread 2026-09-01

Mutiny measures the output after the fact, and nothing tests the agent. Engagement tracking and asset analytics show whether a published asset was opened and by whom, with Visitor Intelligence analytics on Business, and template prompts standardize output quality across a team when assets are written. That measures the customer's artifact, not the agent.

There is no sandbox, evaluation harness, output scoring or regression testing when a template or brand input changes. The earlier Mutiny product included A/B testing and a visual experimentation layer, which the agent first rebuild removed. Mutiny reviews AI model outputs for security and compliance risks before production deployment, which is Mutiny testing its own models internally.

Sourcemutinyhq.com/pricing, mutinyhq.com/products/beautiful-assets and mutinyhq.com/dpa; help.mutinyhq.comread 2026-10-01

A meeting bot joins and records calls (audio capture), but there is no agent driven browser automation, LinkedIn automation or general computer use.

Sourcemomentum.ioread 2026-09-01

Mutiny reaches CRM, sales engagement, email, calendar, document stores and call recording through authorized APIs and OAuth connections, is driven from chat, Slack or an MCP client, and publishes its output as hosted pages and documents. It crawls the customer's public website to learn the brand so generated assets match it by default, which is content ingestion, with no session, no authentication and no action taken as the user. There is no browser control, headless session, screen operation or robotic process automation.

Sourcemutinyhq.com/products/integration, help.mutinyhq.com and mutinyhq.com/dparead 2026-09-02