Shark.AI

AI Agents Library

Twelve production agents. Two series. Ready to deploy.

Six agents built for Series A startups, six for Series B scale-ups. Each is already designed, built and running in real companies — we adapt the highest-ROI ones to your processes, your tools and your data, so you are not funding R&D from zero.

Book a 30-minute call
  • 12 production agents
  • Two series · A & B
  • Human review built in
  • Your stack, your keys
01

Pick a department. Meet the agent.

Every agent page shows the key metrics, the business outcomes and what it takes to deploy it in your company.

Research
Outreach
Onboarding
Documents
Finance
Ops
SalesAI Lead Research AgentA steady stream of ready-to-contact target accounts — researched for you.Explore the agent SalesAI Outbound SDRPersonalized outreach, booked meetings and call prep — even when the founder is heads-down.Explore the agent Customer SuccessAI Onboarding AgentFast, guided onboarding that gets new customers to value without hand-holding.Explore the agent OperationsAI Knowledge AssistantInstant, sourced answers to any team question — knowledge no longer stuck in people's heads.Explore the agent MarketingAI Content AgentA constant flow of on-brand content and campaigns — without hiring a content team.Explore the agent OperationsAI Document Processing AgentDocuments read, checked and entered into your systems — zero manual typing.Explore the agent SalesAI Sales CopilotResearch, CRM updates and call prep done for every rep — their time goes to closing.Explore the agent SalesAI Proposal & RFP AgentTailored, on-brand proposals and RFP responses drafted and routed for you.Explore the agent SupportAI Support AgentMost routine tickets resolved instantly — your team handles only the hard ones.Explore the agent Customer SuccessAI Renewal-Risk AgentEarly warning on at-risk accounts and the playbook to save them — months ahead of renewal.Explore the agent FinanceAI Finance AnalystA faster monthly close plus automated reporting and forecasts you can trust.Explore the agent OperationsAI Back-Office AgentHiring, invoices, approvals and back-office requests — handled automatically.Explore the agent

Metrics shown per agent are representative of typical deployments. Your numbers are modeled during the Business Scan.

02

How we deploy an agent

From library entry to your production system.

Match

Scan and select

The Business Scan ranks which agent family pays off first in your company.

Adapt

Fit to your stack

The agent is connected to your tools, your data and your approval rules.

Launch

Run with humans in charge

The workflow goes live with human review points and full logging.

Improve

Measure and compound

Monthly reporting against baselines; every new agent reuses the foundation.

One team from selection to production — no hand-off to juniors.

What every agent has built in

The same rules apply to all of them.

These are not toys. Every agent in the library ships with the controls a real business needs.

  • 01Human review points where decisions matter — approvals, edits and overrides stay with your team
  • 02Permission boundaries: each agent sees only the data and actions its role requires
  • 03Full audit trail: every step, decision and cost is logged
  • 04Emergency stop for any running process, at any time
  • 05Baseline + monthly reporting against agreed quality, cost and business KPIs
  • 06Your ownership: the configuration, prompts and workflows remain yours
04

FAQ

Agent questions, answered.

No. A single agent can run standalone inside your existing tools. The AI OS becomes the better economics when several agents share one foundation — context, connections and governance.
The library connects to the systems growing companies already run: CRMs like HubSpot, project tools like Asana and Notion, communication channels, document stores and ad platforms. Exact integrations are scoped during the Business Scan.
Agents operate inside your perimeter under your accounts and permissions, with access limited to what each role needs, human approval where required and a full audit trail. Sensitive actions can be configured to require review before execution.
A single adapted agent typically goes live in 4–6 weeks after scope and access are confirmed. Each subsequent agent is faster — it reuses the integrations, context and testing framework of the ones before it.
Deployment is a fixed-scope, fixed-price build agreed after the Business Scan. Platform and model usage costs depend on volume and are estimated up front — no open-ended meters.

Next step

Which agent would pay off first in your company?

In thirty minutes we can tell you which agent family fits your numbers — or whether your highest-ROI opportunity is something the library does not cover yet (we build those too).

Curious how deployment works? See the Business AI Accelerator.