The organizational harness for AI agents
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.
Around every model
In the tools you already use
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.
results
Maya Chen
@Factory Did anything move by more than 10% week over week?
Not another chatbot
Most enterprise AI starts as another chat window.
But company work doesn't happen in one window.
It happens across documents, databases, internal tools, SaaS applications, conversations, approvals, and 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.
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.
Agents. Everywhere.
Bring the same organizational agent into the tools your teams already use.
surface.web Give everyone a powerful general-purpose company agent.
surface.slack Research, create, answer, and take action directly from conversations.
surface.apps Embed the agent inside company workflows with the context already on screen.
surface.ide Bring organizational context and company capabilities into engineering workflows.
surface.api 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.
Safe execution
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.
Each task gets its own sealed workspace. Nothing else runs in there.
Audit trail
Skill registry
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.
One platform. Thousands of company-specific capabilities.
Agent builder
Create specialized agents without creating another isolated stack.
Choose
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 runs on the same organizational foundation.
Control plane
Know what each agent costs, what people ask it to do, and which skills do the work, across every team.
Sample data
One platform. Every team.
team.engineering Investigate systems, analyze incidents, work across code and company knowledge.
team.sales Research accounts, prepare meetings, update systems, and execute follow-up work.
team.finance Analyze data, model scenarios, create reports, and work across financial systems.
team.operations Connect fragmented workflows and automate recurring organizational work.
team.support Research customer context and coordinate resolutions across internal systems.
team.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.
An organization that compounds
Every successful workflow can become reusable organizational capability.
Deploy your way
Choose the deployment model that fits your organization.
deploy.cloud The fastest way to deploy.
Infrastructure, execution, scaling, and platform management operated for you.
deploy.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
One control plane. Multiple execution environments. Same agent platform.
Enterprise agents without enterprise chaos
Enterprise capabilities for organizations deploying agents across sensitive systems and workflows.
Permissions adapt to user, task, and environment.
Connect your existing identity infrastructure.
Understand every agent execution.
Control where data can move and which contexts can interact.
Connect securely to internal infrastructure.
Keep execution inside your cloud environment.
Protect credentials and sensitive configuration.
Enforce organizational requirements centrally.
Contact us
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.
A real person reads every message and replies within two business days.
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.
Organizational harness: Context, Knowledge, Identity, Permissions, Skills, Tools, Memory, Secure execution, Observability.
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.
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 createPriya 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 withheldSam 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 approvalLena 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 maskedDiego 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-onlyNina 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 createOmar 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 maskedTessa 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 withheldAlex 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 expiryKaren 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 approvalRavi 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 flaggedFactory: 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 listMost 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.
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.
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.
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.
Bring the same organizational agent into the tools your teams already use.
An agent isn't limited to one interface. It means one underlying intelligence and execution layer available through every interface.
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.
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 specialized agents without creating another isolated stack.
Know what each agent costs, what people ask it to do, and which skills do the work, across every team.
The agent changes its expertise and access. The underlying platform stays the same.
Every successful workflow can become reusable organizational capability.
Instead of AI usage disappearing into isolated chats, useful knowledge becomes part of the organization's operating layer.
One control plane. Multiple execution environments. Same agent platform.
Enterprise capabilities for organizations deploying agents across sensitive systems and workflows.
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.
curl -s https://agentfactory.example.com/llms.txt