Brev vs Force Equals (2026)

The 50+ native integrations are what Brev calls simple one click native connectors, and a logo wall shows roughly forty counterparties. Named systems cover CRM (Salesforce, HubSpot), customer success (Gainsight), engineering tools (Jira, Linear, GitHub), work management (Asana), data and BI (Snowflake, Tableau), support (Zendesk), file storage (Box) and chat (Slack, Microsoft Teams). In the MCP connector panel, Brev, Slack, GitHub and Linear show as connected sources, with Add connector and Manage connectors controls.

The aim is to "bring revenue, pipeline, product, and company goals together and keep them current, automatically." Pulling live progress from CRM and pipeline, engineering trackers, warehouses and support tools into one goal graph is the product's core mechanic.

Data mostly flows in. Brev pulls progress signals from systems of record and writes into its own goal graph, not into Salesforce or Jira. The write side is the delivery channels. In Slack, Brev pitches itself as "like having a 10x operator as your colleague," and a user can manage execution in Brev without ever leaving Slack, a conversational integration that runs both ways.

The integration count appears as 50+ in some places and 30+ in others, twice each.

Sourcebrev.io integrations section and how-it-works step 2, brev.io/mcp connector panelread 2026-09-13

Named systems span several kinds of ecosystem. Agent platforms include Salesforce Agentforce, ServiceNow, Microsoft Agent 365, Workday and custom agents. Delivery and work management runs through Jira, Asana and Monday.com, AI development tooling covers Claude, Cursor, GitHub and Lovable, and procurement platforms are covered too. Decisions do not just get logged, they get executed.

Closed-Loop Resolution returns each decision as a real action into the system where the agent lives, such as approving or denying a contract execution in Salesforce, pausing a data sync, recalibrating a guardrail or pushing a configuration change. The execution handoff is a single click that injects plans, assets and prototypes into development, project management or procurement workflows while preserving traceability. ForceEquals makes these authenticated writes into systems it does not own, instead of handing reads or recommendations back to a person. The connection layer is built to work with any agent.

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Four agents built around roles (Goal, Meeting, Review and Digest), each with its own product page, hand work between them in a loop of several steps. They collect context from meetings and tools, update the goal graph and detect drift, then draft the review artifact and close the actions. Brev sums up the loop as "reviews drafted, OKRs updated, actions closed, proactively." A running agent panel shows the steps executing in sequence, among them "Updating your company goals," "Tracking dependencies" and "Identifying execution drift".

The sequence is Brev's own fixed operating cadence, and customers cannot compose their own. There is no canvas, graph or step editor, no branching or conditional logic, no versioning or publish lifecycle, and nothing a customer authors, saves or reuses. Customers set their goals, connect their tools and work as usual, and Brev handles the tracking, review prep and follow up. The customer sets the cadence and Brev executes within it, so the cadence decides when the sequence runs, not what it does.

Sourcebrev.io how-it-works steps 1 to 5 and running-agent panel, brev.io/pricing FAQread 2026-09-13

A control plane sits above the customer's entire agent estate and works with any agent, across Agentforce, ServiceNow, Microsoft Agent 365 and custom agents, so the customer governs one estate instead of four. It governs the relationships between agents as well as the agents themselves. By ForceEquals' count, 100 agents means 4,950 interactions, and every pairing is covered.

Alongside it runs an end to end flywheel with six named stages, which are idea pipeline, portfolio management, discovery, project initiation, kickoff and execution, and impact. Impact feeds the next cycle automatically, and escalations become maintenance triggers that pull the right people back into planning. Agents, platforms, escalation routing, named human approvers and downstream delivery systems all take part, and a one click handoff into Jira, Asana and Monday.com preserves traceability. ForceEquals frames the scope as one agent or one thousand.

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The agents run unattended, and work starts in four ways. Cadence schedules run automated WBR and MBR cycles, which Brev calls "your business rhythms and rituals, automated," and automated meeting cadences and agenda preparation are billed as metered monthly work. Meeting events start work too. Agents join the meeting, and what gets said updates the goals, so a calendar event starts work that changes system state.

Data conditions surface risks early, with risk and insight signals and reminders and alerts as recurring outputs, and in one example work fires on a trend of three consecutive weeks of slowing bookings instead of on a schedule. Digest schedules prepare daily digests, and a notification says the daily brief is ready for review.

A Running agent panel shows Brev Operator working unattended through "Updating your company goals," "Tracking dependencies" and "Identifying execution drift". Brev takes action and closes the loop, with reviews drafted, OKRs updated and actions closed proactively, and Brev says it keeps the company on track without chasing anyone.

Brev delivers through Slack, Microsoft Teams, any MCP compatible AI client and a CLI, so teams can track goals in Slack, in Teams and in LLMs. Goal based automations can also be started from the CLI or an MCP client.

Sourcebrev.io hero running-agent panel, Meetings & Cadence and Signals & Guidance sections, brev.io/pricing metered cadence itemsread 2026-09-13

Four named trigger classes route automatically without anyone starting them. They are guardrail breaches, cross platform anomalies, semantic ambiguity and strategic maintenance signals. The worked examples are all event driven and timestamped. A contract agent was blocked two minutes ago trying to execute above a $2M threshold. In a cross platform anomaly, Salesforce created three contracts while Workday processed the same vendor.

An OCR confidence score fell below an 85 percent threshold, a sync error rate reached 18 percent against a 2 percent baseline, and purchase order volume spiked 340 percent week over week. Agents connect over WebSocket, SDK and MCP with live connection states, so the inbound channel stays open instead of polling. On the planning side, ideas flow in from agent escalations, agent insights, team members, line of business, market signals and customers, driving continuous reprioritization. Escalations land only in the product's own Intelligence Surface feed, personalized by role, and there is no email, Slack, Teams or mobile surface.

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Company Brain is a named knowledge store with its own page, holding "decisions, commitments, and context, always current, always connecting the dots across the company." Teams ask it questions, get updates and see progress across every team, goal, decision or blocker.

The store draws on three sources. A company uploads a strategy doc, OKR sheet or annual plan in any format, and Brev structures the goals, metrics and initiatives from it. The 50+ native integrations pull in revenue, pipeline and product signals as Brev collects context across meetings and tools. Agents also join meetings and turn what is said into structured progress, so what gets said updates the goals.

Updates are grounded in quotes from meeting participants, so a check in traces back to who said it. Synthesized output carries its reasoning inline, for example "Q4 ARR is tracking $1.4M short of pace. Three consecutive weeks of slowing bookings, driven by the CAC spike on paid social pulling new-player volume down." Each such line gives the conclusion, the trend behind it and the driver.

Brev names no index, embedding, chunking or ranking method. Company Brain holds what the company decided, not what the agent did.

Sourcebrev.io Company Brain section, how-it-works steps 3 and 5read 2026-09-13

At the center is a persistent, queryable store over the customer's own operational history. A customer can ask the agent estate anything across agents, platforms, decisions and history and get instant answers without dashboards. In the worked example, the answer covers not just current state but the escalation path, the approving role and the date a guardrail design change from earlier weeks is scheduled to go live.

That history persists past any single run, scales across an estate of any size and stays queryable. Around it, ForceEquals builds a living understanding of each initiative from research, stakeholder input, risks and dependencies, and grounds prioritization in live operational signals rather than a static intake form. No index, graph or embeddings layer is named under the query.

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Company Brain is the store Brev ships, a queryable knowledge base about the company with its own product page. Brev says "Your company finally remembers everything," and calls the store a single source of truth for execution. Company Brain remembers what the business decided, committed to and blocked on, and teams ask it questions, get updates and see progress across every team, goal, decision or blocker.

Brev names no memory of the agents' own work, such as what an agent did last run, what it learned about the task or what state it carries forward. It names no memory scope per agent or user, no lifetime or purge path and no way to read or write accumulated agent state. Brev says recommendations and coaching grow more relevant over time, but it does not say an agent recalls its own prior run.

Sourcebrev.io Company Brain section and how-it-works step 5read 2026-09-13

The platform has what ForceEquals calls institutional memory. It remembers the routing when a decision involves several people and optimizes it next time without being asked, and a personalized feed remembers who resolved what and how, so future escalations route faster. Alongside it, temporal intelligence understands urgency windows instead of static priority scores. The feed learns from every decision a customer makes. There is no retention period, deletion control or scope boundary that the customer administers.

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Some output waits for a person and some does not. Drafted artifacts come to a person first. A notification reads "Your daily brief is ready for your review" with a View full brief control, and Brev talks of reviews drafted, meetings that write their own updates ready before you walk in, and narrative updates drafted as metered work. The person opens the draft, acts on it and keeps the decision on what to do about a flagged risk.

Other work goes ahead without approval. Reviews are drafted, but OKRs are updated and actions closed proactively, and Brev bills automated updates and check ins and automated action items as metered monthly work. Brev names no configurable approval gate and no way for a customer to choose which outputs wait for sign off. It names no approval inbox or queue, no autonomy setting or risk tiering per action, and no escalation path or record of who approved what.

Sourcebrev.io daily brief review notification and how-it-works step 4, brev.io/pricing metered work listread 2026-09-13

Every escalation goes to the right human, and Closed-Loop Resolution returns every decision as a real action. That action can be an approval, a denial, a rollback, or a change request to guardrails, to an agent's config or to add a new agent. Live escalations carry named decision options, such as approve execution, deny and recalibrate guardrail, pause and investigate, remind approver, escalate to COO and auto approve override.

Approval chains with several parties show their state (Todd A. approved, Finance VP pending), a rationale is recorded against the approval, and an activity timeline stamps each step. Guardrails can be configured at four scopes (parent organization, suborganization, category and agent) with concrete thresholds such as a $2M contract limit, CFO approval above threshold, a maximum execution rate and an 85 percent confidence floor. HITL and guardrail changes deploy instantly on approval, which closes the gap between the decision and the action.

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The platform is SOC 2 Type 2 certified, and Brev says it is GDPR compliant, CCPA compliant and NIST aligned. It claims ISO 27001 compliance, not certification.

The Enterprise tier adds SSO, SCIM, RBAC and MFA, and SCIM provisioning also appears among the trust claims. These access controls come only with Enterprise, so Growth customers do not get them. Brev promises that "your company's context stays yours," and it does not store raw audio.

Sourcebrev.io trust section, brev.io/pricing Enterprise planread 2026-09-13

A Trust Center runs at trust.forceequals.ai, alongside the privacy policy and terms of service. ForceEquals names no certification, attestation, SSO, SAML, SCIM, RBAC or access model that the customer administers.

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Customers can see what an agent is doing now and what it costs, but not what it did before.

Team dashboards, exec ready summaries, cadence effectiveness scores, live progress views and risk signals report on the customer's company, not on the agents, and quotes in updates name who said them.

A Running agent panel names the actor, Brev Operator, and lists its current steps in order ("Updating your company goals," "Tracking dependencies," "Identifying execution drift"). A real time dashboard breaks credit spend down by goal, agent or team, with monthly caps and alerts at any usage threshold, and Enterprise adds organization wide budgets and per team limits. Spend per agent shows how much work each agent did, and the caps control it.

Brev names no run history, task list or execution detail view, no reasoning trace, no error or failure view and no audit log of agent actions. A customer cannot open what an agent did last Tuesday or why it reached its conclusion, and the credit dashboard measures volume, not behavior.

Sourcebrev.io hero running-agent panel, brev.io/pricing spend control FAQread 2026-09-13

The Intelligence Surface is a real time feed of health, status and the escalation queue across the whole agent estate. ForceEquals says every escalation is routed, every action logged and every change traceable back to the requirement that triggered it. An activity timeline stamps each step of an escalation with its actor and time. An estate view carries each agent's state, version numbers and guardrail flag counts.

An insights panel reports escalations, average resolution time, on time resolution rate and a breakdown of top triggers by share. The surface also reconstructs why, not only what. A customer can ask across agents, platforms, decisions and history. In one example, the question is which agents triggered guardrail breaches this week that have not been resolved and who approved the guardrail design requirements, and the answer gives the escalation path, the approving role and the date the design change is scheduled to go live.

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Sign up is a hosted app at app.brev.io, the only way Brev is delivered. Brev names no region, cloud provider or tenancy model, claims no data residency, and offers no self hosted, on premises or customer cloud path or any way to choose one.

The Enterprise tier lists bulk credits, customized onboarding, evals and configuration support, forward deployed engineering, and SSO, SCIM, RBAC and MFA, with no hosting choice among them. Organizations with specific security requirements are invited to scope an Enterprise plan with sales.

Brev's promise that your company's context stays yours is about data ownership and training, not about where data sits. GDPR and CCPA compliance and NIST alignment do not fix where the data is located.

Sourcebrev.io trust section, brev.io/pricing Enterprise planread 2026-09-13

Customers cannot choose a region, a VPC, an on premises install or a tenant of their own, and no region list is given. ForceEquals sits above the customer's agent estate and works with what the customer already runs, connecting to agents wherever they live instead of being placed anywhere itself.

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Four agents make up the Product menu, each at its own address. Goal Agents live at /okr-agents, Meeting Agents at /meeting-agents, Review Agents at /review-agents and Digest Agents at /digest-agents, with Brev MCP beside them in the menu on every page.

Each agent has its own job, triggers and outputs, and none is a tier or module of another. Digest Agents draft exec summaries on a schedule, while Meeting Agents join a call and turn what is said into goal updates. Dedicated agents for specific workflows are included on every plan, and the metered work table prices their output separately (goals tracked and updated, meetings and reviews run, teams kept live), so each agent's work is a billed unit. A named actor, Brev Operator, appears in the running agent panel.

The Growth and Enterprise tiers both get all four agents. Brev also offers OKR frameworks and review templates, which are document scaffolding, not agents.

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AI agents create and maintain the presentations, reports and assets needed to communicate with stakeholders, keeping them updated as context changes. They dynamically recommend assets based on the specifics of a project, and business cases, requirements, charters and communication assets come out as structured artifacts the customer can reuse. There is no catalog, library or named set of prebuilt agents to choose from, and no template gallery.

Agent categories in the product, such as Category 1 Enterprise Automation and Category 7 Contract Execution, classify the customer's own agents under governance and are not agents ForceEquals ships. The capabilities ForceEquals does ship, the Intelligence Surface, Intelligent Escalation Routing and Closed-Loop Resolution, are modules of the one product.

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The Goal, Meeting, Review and Digest agents run on no named model, provider or model family. There is no model selector or admin control, no disclosed routing and no way to bring your own model or key on either tier.

All the model names Brev uses belong to the customer's side. Brev is completely headless, so teams manage execution inside their favorite AI tool, track goals in LLMs and run goals from Claude, and the goal platform is completely controllable from the customer's AI tool of choice and CLI. Claude, ChatGPT, Cursor and Codex are each the customer's assistant calling Brev through the MCP server. The customer chooses which AI tool drives Brev, not which model Brev reasons with.

Brev describes its own intelligence as AI native, with AI driven summaries, embedded AI coaching and an actor called Brev Operator, and names no provider behind any of them.

Sourcebrev.io Track Goals in LLMs and Run Goals from Claude sections, brev.io/mcp, brev.io/pricingread 2026-09-13

There is no model picker, admin model setting or option to bring your own model, and no model provider or routing scheme is named. ForceEquals integrates with AI development tools including Claude, Cursor, GitHub and Lovable, but those integrations are an execution handoff that injects plans and prototypes into the customer's build workflow. Agent cards list MCP among the connection types, and those connections are how the customer's agents attach to the control plane. Customers cannot choose the model behind the platform's own reasoning or the one that runs ForceEquals' own agents.

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An MCP server and a CLI ship, and MCP access is in early access. The Brev MCP server, a product in the main navigation, is a Model Context Protocol server that gives AI agents like Claude, Cursor and ChatGPT live access to the company's goals, OKRs and operating context. It reads and writes.

Users can read, update and act on company goals from the command line, and typical workflows include checking goal status, posting check ins, querying owners and cadences, and triggering goal based automations, so outside clients can command the platform as well as read it. A CLI ships alongside it, and Full MCP & CLI support is included on every plan.

Every call to action for MCP is Request MCP access or Get access now, both leading to the early access sign up at brev.io/mcp/mcp-early-access. Brev publishes no REST or GraphQL API, SDK, OpenAPI spec or developer documentation site for its own platform. The OpenAI Agents SDK and Anthropic SDK named alongside the MCP server belong to the client, not to Brev.

Sourcebrev.io/mcp FAQ and early-access CTAs, brev.io/pricing always-included listread 2026-09-13

Agents can connect in three ways. Every agent card carries a Manage Agent Connections block listing WebSocket, SDK and MCP, each shown as active, connected or standby. MCP is an inbound connection that lets the customer's agents attach to the platform. The platform works with any agent and with what the customer already runs, across Agentforce, ServiceNow, Agent 365 and custom agents. The SDK and MCP appear only as labels in the product interface. There is no developer documentation site, API reference, endpoint list, authentication guide or SDK download, and no way to get access to one.

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Changes to the agents have no named test step. Brev names no harness or test environment before deployment, no replay of past cases or regression set, no scored outputs, judge, rubric, accuracy or quality metric, and no A/B or shadow comparison of agent versions. AI recommendations, next best actions, coaching and trend analytics are features of the product, not measures of it.

Cadence effectiveness scores rate the customer's meeting rhythm, not the agents' output, and cadence operating system analytics measure the business operating system. Team dashboards, risk signals and progress reports also report on the company.

The Enterprise plan includes customized onboarding, evals and configuration support beside forward deployed engineering for tailored solutions. Those evals are run by Brev's staff during an engagement on a custom priced tier, not shipped in the platform. The $100 in free credits to start is a commercial trial.

Sourcebrev.io/pricing Enterprise plan and metered work lists, brev.io Signals & Guidance sectionread 2026-09-13

Agents stress test submissions, cross check with stakeholders and validate for completeness before an initiative proceeds, and they surface gaps and unanswered questions. That gate checks whether a plan has its gaps addressed, risks mitigated and requirements approved. After deployment, agents track delivery against original goals, surface drift, confirm value realized and feed results back as the next initiative's baseline.

Escalations automatically become maintenance triggers that close gaps and add capability each cycle. That loop measures delivery outcomes against goals, not the agent's own decisions, and there is no controlled comparison, holdout or scored test case. Customers cannot exercise an agent or a guardrail change before it goes live, and guardrail changes deploy instantly on approval.

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Every route into another system is programmatic, through the 50+ one click native connectors, the MCP server and the CLI. Brev calls itself completely headless. It has no interface of its own to drive and does not drive anyone else's, and instead it exposes state and receives commands. There is no browser session the agent drives and no desktop, remote or local computer control.

Agents join standups and business reviews as conferencing participants that take in audio, and the product does not retain raw audio. The CLI is a text interface to Brev's own platform. In Slack and Teams, Brev is a bot in a messaging app that lets users manage execution without ever leaving Slack. Running goals from Claude goes the other way, with a person or the customer's assistant reaching Brev.

Brev's premise is that there is nothing new to adopt because Brev lives in your tools. It reaches systems through their APIs and people through their chat clients, so there is no screen for it to drive.

Sourcebrev.io headless positioning and integrations section, brev.io/mcpread 2026-09-13

There is no hosted or local browser, desktop session, or remote or local computer control. The platform sits above the customer's agent estate and reaches agents through WebSocket, SDK and MCP connections.

It reaches downstream systems through a one click handoff into Jira, Asana, Monday.com and procurement platforms, and both routes are programmatic interfaces.

The agents it governs run on other vendors' platforms and can do things there, such as Salesforce contract execution, Workday onboarding or ServiceNow procurement, but those are the customer's agents, and their capabilities are not ForceEquals' own.

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