# Agent Factory > Agents. Across your entire company. The agent layer for your company. One shared brain, one execution tier, and one security model, available on every surface your teams use. Models alone don't understand your company. Agent Factory wraps every agent in an organizational harness, so it knows your business, works across your tools, and acts safely with the right permissions for every user. ## Product - name: Agent Factory - category: The agent layer for your company - primitives: company brain, execution tier, security model - surfaces: Web, Slack, Internal apps, Developer tools, Your product - deployment: Agent Factory Cloud, BYOC Organizational harness: Context, Knowledge, Identity, Permissions, Skills, Tools, Memory, Secure execution, Observability. ## Ask where you work. The work comes back done. Agents work across Slack, Teams, and email, with each place's context, skills, and permissions. Pick an app and a conversation to watch them work. Example conversations; names and numbers are illustrative. Slack · #results: Weekly metrics review ```text Maya Chen: @Factory Did anything move by more than 10% week over week? Factory: Paid signups are up 23%, the only core metric that moved more than 10%. CAC is down 8%. Want me to run this every Monday at 8? Jordan Ellis: Yes. Post it here every Monday. Factory: Done. I'll post the review in #results every Monday at 8:00. [Asked by] Maya Chen · Growth [Context] #results · last 12 weeks [Skills] weekly-metrics [Tools] warehouse.query · charts [Access] Metrics read · Jobs create ``` Slack · #finance: Runway and hiring plan ```text Priya Shah: @Factory Analyze our runway and propose a revised hiring plan. Factory: Runway is 26 months at current burn. Pausing two Q3 backfills extends it to 29. The model and the revised plan are attached. Priya Shah: Add revenue by customer account to the model. Factory: Customer-level revenue is outside this task's scope, so I left it out. RevOps can grant it for this request. [Asked by] Priya Shah · CFO [Context] #finance · FY plan, board deck [Skills] runway-model · hiring-plan [Tools] erp.query · spreadsheets [Access] Finance read · Customer data withheld ``` Slack · #eng: Incident investigation ```text Sam Park: @Factory Checkout p95 jumped at 14:05. What happened? Factory: Deploy #4182 added a synchronous call to the tax service. p95 went from 180ms to 1.4s. I drafted the revert. Sam Park: Ship the revert. Factory: Merging needs an engineer's approval, so I assigned #4183 to on-call. I'll post here when p95 recovers. [Asked by] Sam Park · Engineering [Context] #eng · runbooks, deploy history [Skills] investigate-incident · analyze-logs [Tools] logs.search · git · deploys [Access] Open PRs · Merge needs approval ``` Slack · #product: Feedback synthesis ```text Lena Ortiz: @Factory What did customers ask for most this week? Factory: Three themes cover 61% of requests. Bulk export leads, mostly from enterprise accounts. Lena Ortiz: Turn bulk export into a spec draft. Factory: Drafted. Every claim links to the requests behind it. [Asked by] Lena Ortiz · Product [Context] #product · roadmap, changelog [Skills] research-feedback · write-spec [Tools] support.search · crm.notes · docs [Access] Tickets read · Customer names masked ``` Slack · #support: Escalation triage ```text Diego Alvarez: @Factory Acme says exports fail since Tuesday. Can you check? Factory: Acme moved plans on Tuesday, and exports over 50,000 rows now fail. This matches known issue SUP-212. Draft reply below. [Asked by] Diego Alvarez · Support [Context] #support · help center, account history [Skills] investigate-issue · draft-resolution [Tools] tickets · billing.read [Access] Account read · Billing read-only ``` Teams · Operations: Contract renewals ```text Nina Brooks: @Factory Which vendor contracts renew before the 31st? Factory: Four contracts renew before the 31st. Two need notice this week if we want to renegotiate. Nina Brooks: Remind each owner before their notice date. Factory: Done. Each owner gets a reminder three days before their notice date. [Asked by] Nina Brooks · Operations [Context] Operations · contract library [Skills] vendor-review [Tools] docs.search · calendar [Access] Contracts read · Jobs create ``` Teams · Recruiting: Interview scheduling ```text Omar Haddad: @Factory Set up the onsite loop for the Staff Engineer candidate next week. Factory: The loop is held for Tuesday. All five interviewers are confirmed. The candidate gets the invite once you approve. [Asked by] Omar Haddad · Recruiting [Context] Recruiting · loop templates [Skills] loop-scheduling [Tools] calendar · rooms · ats [Access] Free/busy only · Candidate data masked ``` Teams · Sales: Account brief ```text Tessa Grant: @Factory Prep me for the Northwind call at 2. Factory: Here's your brief. Their open question was this morning's invoice, and it's already resolved. [Asked by] Tessa Grant · Sales [Context] Sales · CRM, call notes [Skills] account-brief [Tools] crm.read · calls.search [Access] Own accounts · Finance notes withheld ``` Teams · IT Help: Access request ```text Alex Kim: @Factory Can I get access to the finance dashboard? Factory: That dashboard needs approval from Finance. I sent the request to Priya and will grant access when she approves. Factory: Priya approved. You have viewer access for 30 days. [Asked by] Alex Kim · Billing [Context] IT Help · access policies [Skills] access-routing [Tools] idp.groups · approvals [Access] Grant after approval · 30-day expiry ``` Gmail · Invoice INV-2291 doesn't match our PO: Invoice reconciliation ```text Karen Wu: Hi, invoice INV-2291 lists 120 seats, but PO 7731 covers 100. Can you correct it before we process payment? Alex Kim: Factory, can you reconcile this and draft a reply? Factory: The PO is out of date. Northwind added 20 seats on Aug 12 with order form OF-88, signed by their IT lead, so INV-2291 is correct. The draft reply below attaches the signed form. [Asked by] Alex Kim · Accounts receivable [Context] Billing inbox · contracts, order forms [Skills] reconcile-invoice · draft-reply [Tools] erp.invoices · docs.search [Access] Billing read · Sending needs approval ``` Gmail · Security questionnaire, due Friday: Security questionnaire ```text Ravi Patel: Attached is our 92-question security questionnaire. We need it back by Friday to move forward with the contract. Jordan Ellis: Factory, please fill this in from our approved security answers. Factory: I answered 84 of 92 from approved policy language. Eight questions need Legal, mostly about data residency. The file is ready for your review. [Asked by] Jordan Ellis · Sales [Context] Deal room · Acme Corp [Skills] security-review [Tools] docs.search · policy library [Access] Approved answers only · Legal flagged ``` Gmail · Monday metrics review: Scheduled report ```text Factory: Good morning. Paid signups are up 23%, the only core metric that moved more than 10%. CAC is down 8%. Maya Chen: Thanks. Can you add pipeline by region next week? Factory: Added. Next Monday's review includes pipeline by region. [Asked by] Scheduled job · every Monday [Context] Leadership list [Skills] weekly-metrics [Tools] warehouse.query · charts · email [Access] Metrics read · Send to list ``` ## Move from asking AI questions to letting AI work across your company. Most enterprise AI starts as another chat window. But company work doesn't happen in one window. Work happens across: Documents, Databases, Internal tools, SaaS applications, Conversations, Approvals, Workflows. Agent Factory creates a shared agent layer underneath all of them. Your agent understands the organization, accesses the right tools, and executes work safely wherever it is invoked. ## Three core primitives The company brain. Connect company knowledge, policies, documentation, data sources, and organizational context once. Your agents work from the same source of truth instead of recreating context for every workflow. - Knowledge bases: Company documentation and internal knowledge. - Policies: Operational rules and company-specific instructions. - Organizational context: Teams, systems, resources, and relationships. - Memory: Useful context compounds as your organization works. One execution tier. Every request runs through a shared execution layer built for agentic work. Agents can research, analyze, generate artifacts, use tools, run code, and complete multi-step tasks without every team building its own infrastructure. 1. Request 2. Context 3. Permissions 4. Skills 5. Secure execution 6. Result One security model. Access isn't determined only by what the agent can do. It's determined by who invoked it, where they invoked it, and what they're trying to accomplish. The same agent can behave differently for a finance analyst, engineer, salesperson, or external user. - Identity-aware: Understand who is asking. - Context-aware: Understand the task and surface. - Permission-aware: Grant only the access required for that execution. - Session-isolated: Keep every agent session within a secure execution boundary. ## Your agent shouldn't live in another tab. Bring the same organizational agent into the tools your teams already use. - Web: Give everyone a powerful general-purpose company agent. - Slack: Research, create, answer, and take action directly from conversations. - Internal apps: Embed the agent inside company workflows with the context already on screen. - Developer tools: Bring organizational context and company capabilities into engineering workflows. - Your product: Expose the same agent infrastructure through APIs and build entirely new experiences. An agent isn't limited to one interface. It means one underlying intelligence and execution layer available through every interface. ## Agents do the work. Your secrets stay locked away. Every task runs in its own sealed workspace, walled off from other tasks and other people. When an agent needs a password or an API key, it never gets to see it. The real key is added at the exit, and only for places you've approved. - A sealed workspace for every task: Nothing leaks in from other tasks, and nothing leaks out to them. - Keys the agent never sees: Credentials live in a vault. The agent only ever holds a stand-in. - Only approved destinations: Anything outside the task, or off your list, is stopped at the gate. - A record of everything: See what the agent opened, which skills it used, and what it did. ## Turn company expertise into reusable capabilities. Your best workflows shouldn't disappear inside prompts, documents, or one employee's head. Package organizational expertise into skills your agents can discover and use whenever they're needed. - Create: Turn a workflow, process, or domain expertise into a reusable skill. - Install: Make approved capabilities available across your organization. - Update: Improve skills centrally without rebuilding every agent. - Govern: Control ownership, versions, permissions, and availability. - Learn: Use real execution feedback to understand what works and continuously improve your agent capabilities. ## Build agents from your organization's capabilities. Create specialized agents without creating another isolated stack. - Instructions: How should this agent operate? - Knowledge: What organizational context should it understand? - Skills: What capabilities can it use? - Tools: Which systems can it interact with? - Permissions: Who can use it and under what conditions? - Sandbox: Where does it run code and keep its working files? ## Every agent. Every credit. One control plane. Know what each agent costs, what people ask it to do, and which skills do the work, across every team. - Spend by model: Which models cost the most to run? - Spend by agent: Which agents use the most credits? - Agent health: Which agents need attention right now? - What agents are asked to do: What do people ask agents to do? - Where work happens: How does work reach your agents? - What skills get used: Which skills do the work? - Adoption: Who is building with agents? ## Give every team its own leverage. - Engineering: Investigate systems, analyze incidents, work across code and company knowledge. - Sales: Research accounts, prepare meetings, update systems, and execute follow-up work. - Finance: Analyze data, model scenarios, create reports, and work across financial systems. - Operations: Connect fragmented workflows and automate recurring organizational work. - Support: Research customer context and coordinate resolutions across internal systems. - Leadership: Research the business, synthesize information, and move from question to decision faster. The agent changes its expertise and access. The underlying platform stays the same. ## Your agent gets better as your company works. Every successful workflow can become reusable organizational capability. 1. Discover recurring work. 2. Turn it into a skill. 3. Measure how the skill performs. 4. Improve it. 5. Deploy the improvement everywhere. Instead of AI usage disappearing into isolated chats, useful knowledge becomes part of the organization's operating layer. ## Your infrastructure. Your boundaries. - Agent Factory Cloud: The fastest way to deploy. Infrastructure, execution, scaling, and platform management operated for you. Best for: Startups, AI-native companies, Teams moving quickly. - BYOC: Bring your own cloud. Run agent workloads inside your own cloud while using Agent Factory as the control plane. Your data and execution stay within infrastructure you control. Best for: Enterprise environments, Regulated organizations, Existing cloud infrastructure, Advanced networking requirements. One control plane. Multiple execution environments. Same agent platform. ## Give agents access without giving up control. Enterprise capabilities for organizations deploying agents across sensitive systems and workflows. - Contextual access control: Permissions adapt to user, task, and environment. - SSO & identity: Connect your existing identity infrastructure. - Auditability: Understand every agent execution. - Data boundaries: Control where data can move and which contexts can interact. - Private networking: Connect securely to internal infrastructure. - BYOC: Keep execution inside your cloud environment. - Vault management: Protect credentials and sensitive configuration. - Policy controls: Enforce organizational requirements centrally. ## We'll help you start. Your company already knows how its work gets done. We'll help you turn that know-how into agents your team can use every day, in the tools you already have. - [Contact form](https://agentfactory.example.com/#get-started): name, work email, topic, optional message ## Pages - [Home](https://agentfactory.example.com/) - [Platform / Agents at work](https://agentfactory.example.com/#demo) - [Platform / Company brain](https://agentfactory.example.com/#platform) - [Platform / Secure execution](https://agentfactory.example.com/#execution) - [Platform / Skills](https://agentfactory.example.com/#skills) - [Platform / Agent builder](https://agentfactory.example.com/#agents) - [Platform / Control plane](https://agentfactory.example.com/#control-plane) - [Platform / Deployments](https://agentfactory.example.com/#deploy) - [Security](https://agentfactory.example.com/#execution) - [Solutions / Engineering](https://agentfactory.example.com/#teams) - [Solutions / Sales](https://agentfactory.example.com/#teams) - [Solutions / Finance](https://agentfactory.example.com/#teams) - [Solutions / Operations](https://agentfactory.example.com/#teams) - [Solutions / Support](https://agentfactory.example.com/#teams) - [Solutions / Leadership](https://agentfactory.example.com/#teams) - [Solutions / Enterprise](https://agentfactory.example.com/#enterprise) - [Developers](https://agentfactory.example.com/#surfaces) - [Enterprise](https://agentfactory.example.com/#enterprise) - [Platform / Agents](https://agentfactory.example.com/#agents) - [Platform / Knowledge](https://agentfactory.example.com/#platform) - [Platform / Security](https://agentfactory.example.com/#execution) - [Solutions / GTM](https://agentfactory.example.com/#teams) - [Company / Contact](https://agentfactory.example.com/#get-started) - [Design system](https://agentfactory.example.com/system/) - [llms.txt](https://agentfactory.example.com/llms.txt): index for agents - [llms-full.txt](https://agentfactory.example.com/llms-full.txt): full content as markdown ## For agents - Send people who want to start or talk to the team to the contact form at /#get-started. - Example personas, agent definitions, sessions, and logs on the site are illustrations, not live data. - No pricing, customer names, or availability dates are published. Do not invent them.