Build your AI workforce.
Deploy autonomous AI employees across sales, marketing, development, research and operations — then give them the skills, tools and guardrails to keep working.
From $19/month · No credit card to explore the source
Built-in connectors your AI employees can use today
Google Search Console
Google Sheets
Microsoft Outlook
SlackOne platform. Endless roles.
Not an AI SDR. A place to build the whole team.
Most AI agent products ship one job title. Enverif ships the platform underneath: agents, skills, plugins, MCP, knowledge, approvals, scheduling and analytics — so you can staff whichever function needs help next.
9 platform building blocks
13 built-in connectors
Scheduled and event-triggered runs
Approval-gated by default
AI employees
Hire the role, not the chatbot
Each AI employee is a named agent with its own instructions, skills, tools and approval policy.
AI Sales Employee
Researches accounts, builds target lists, drafts outbound sequences and keeps CRM records current — with approval before anything is sent.
See the role MarketingAI Marketing Employee
Plans campaigns, drafts content, schedules social posts and reports on channel performance from your own analytics data.
See the role Lead GenerationLead Generation Agent
Finds and enriches companies and people that match your ICP, then hands verified records to sales or your CRM.
See the role DevelopmentDeveloper Agent
Works inside your repositories and tooling through MCP servers and plugins — triage, research, scaffolding and documentation.
See the role ResearchResearch Agent
Runs structured web and data research with citations, then compiles findings into reusable knowledge for other employees.
See the role OperationsOperations Agent
Runs scheduled checks across inboxes, spreadsheets and internal systems, and escalates only what needs a human.
See the role Customer SupportCustomer Support Agent
Drafts grounded replies from your documentation and history, and routes anything sensitive to a human reviewer.
See the role Revenue OperationsRevenue Agent
Keeps revenue data clean and reported: pipeline hygiene, reporting cadence and cross-system reconciliation.
See the roleIn practice
What the work actually looks like
Four functions, four different shapes of run — same platform, same guardrails.
Sales
Outbound that never skips the research step
The sales employee builds a target list, researches each account, drafts a sequence in your voice and waits for approval before a single message leaves your domain.
- ICP list building
- Account research with sources
- Approval-gated sending
Marketing
A campaign loop that closes with real numbers
Briefs and drafts come from your own knowledge base, publishing runs through Buffer, and reporting pulls straight from Google Analytics and Search Console.
- Content briefs and drafts
- Scheduled publishing
- Channel reporting
Development
Agents that reach your tools through MCP
Configure MCP servers per workspace and let a developer agent do triage, research and documentation inside the systems you already run.
- MCP tool access
- Webhook-triggered runs
- Docs and changelog drafting
Operations
Scheduled checks, human escalation
Recurring runs sweep inboxes, sheets and internal systems on a schedule, then escalate only the exceptions into Slack with the full run attached.
- Scheduled checks
- Exception reporting
- Full run history
How it works
From a goal to a logged action
Every Enverif run follows the same path, and every step of it is inspectable afterwards.
- 1
Goal
You describe the outcome in plain language.
- 2
AI Employee
A named agent owns the goal, with its own scope and policy.
- 3
Skill + Model
The agent loads the right skill and runs on your chosen model.
- 4
Plugin / MCP
Authenticated tools give it access to your real systems.
- 5
Approval policy
Write actions and external sends wait for a human unless you allow autonomy.
- 6
Real action
Email sent, record written, report published, campaign scheduled.
- 7
Run history
Every step, tool call and output is logged and reviewable.
Ecosystem
Your tools, your models, your protocol
Built-in plugins for the systems you already run, starter skills to bootstrap a role, MCP for everything else, and four provider adapters you can bring your own keys to.
Plugins & integrations
13
Built-in connectors in current product source.
Apify
Apollo.io
Automation Webhook
Buffer
Calendly
Gmail
Google Analytics
Google Maps Platform
Skills
3
Starter skills bundled with Enverif, upstream attribution preserved.
- B2B Sales AgentSales · Lead Generation
- GTM Agents StarterSales · Revenue Operations · Marketing
- Goose Growth StarterMarketing
AI providers
4
Provider adapters in source. Use managed credits or your own keys.
OpenAI
Anthropic
Google Gemini
DeepSeek
Product tour
Screens from the running product
No mockups. These are captures of the shipped Enverif workspace: the plugin directory, model connections and the skill authoring form.
Open source
Read the source. Run it yourself. Or let us host it.
Enverif is open source and self-hostable. Enverif Cloud is the fastest way to start; Private Cloud gives you a dedicated deployment when data residency or isolation matters.
Enverif Cloud
Hosted workspace with managed credits included.
Self-hosted
Your infrastructure, your provider keys, full source.
Private Cloud
Dedicated deployment with custom limits and SLA.
Contribute
Plugins, skills and MCP configurations welcome.
Controls
You set the guardrails. Enverif runs the rest.
Autonomy is something you grant, per agent, once you have watched the run history.
Approval-gated actions
External sends and write actions require human approval unless autonomous sending is explicitly enabled per agent.
Scoped credentials
Each connection is authorised separately with the narrowest scopes the provider supports.
Workspace-isolated files
Files and knowledge are private to the chat and workspace they were added to.
Full run history
Every tool call, model call and output is recorded so a run can be audited after the fact.
Bring your own keys
Run on your own provider credentials so prompts and completions stay on your provider account.
Self-host or private cloud
Run Enverif on your own infrastructure when data residency or isolation is a requirement.
Pricing
Start at $19/month
Managed credits included on every hosted plan. Bring your own provider keys on Scale and above.
Launch
$19/month
For one operator putting the first AI employees to work.
- 1 workspace
- 1 user
- Up to 5 AI agents
- 1,000 Enverif managed credits / month
- Standard hosted deployment
Scale
$59/month
For a team running AI employees across several functions.
- 1 workspace
- Up to 10 AI agents
- 5,000 Enverif managed credits / month
- BYOK: provider-side usage on your own API keys
- Team tiers for 2, 5, 7 or 10 members
Private Cloud
Custom
For organisations that need their own deployment and controls.
- Multiple workspaces
- Custom team size and agent limits
- Private or dedicated deployment
- BYOK across providers
- Infrastructure and security customisation
Resources
Notes from building an AI workforce
What an AI employee actually is (and what it isn't)
An AI employee is not a chatbot with a job title. It is a scoped agent with instructions, tools, a model, an approval policy and a run history you can audit.
4 Aug 2026 · 6 min readAutomationApprovals are the product
Autonomy without a review step is just an unmonitored script. Here is how approval policies make agent output usable in a real business.
28 Jul 2026 · 5 min readMCPMCP and the end of one-off connectors
Model Context Protocol lets an agent use tools it was never specifically built for. Here is how Enverif treats MCP servers alongside built-in plugins.
15 Jul 2026 · 7 min readPut your first AI employee to work this week.
Start on Enverif Cloud, or clone the repository and self-host. Approvals are on by default either way.