Your outsourced AI department

Your team for implementing AI agents that do real work.

We analyze how your business works, identify the right opportunities for agentic automation, implement the agents and keep them operating.

You bring the business problem. We bring the AI implementation team.

A team, not just a tool

Use Funkshin as your outsourced AI department.

The platform is the technology. Our service team is the people who analyze your operations, find the best opportunities, build the solution, and own the work of keeping it useful.

01

Analyze your business

We map processes, systems, bottlenecks, and repetitive work to find where agents can create practical leverage.

02

Implement the solution

We design and build the agents, workflows, integrations, knowledge, and controls your business actually needs.

03

Operate it with you

We monitor outcomes, investigate failures, update the system, and identify the next opportunity after launch.

What our AI team does

From business analysis to agents in production.

01

Analyze your operations

We learn how your teams work, where time is lost, and which processes are structured enough for agentic automation.

02

Prioritize the opportunity

We define the right first use case, success measures, data requirements, risks, and a roadmap for additional workflows.

03

Implement and launch

We configure agents, skills, knowledge, triggers, APIs, approvals, and business logic, then test the system with real scenarios.

04

Operate and improve

We maintain the workflow, review performance, manage change, and turn operational learning into better automation.

Your AI operations team

We operate your AI systems after launch.

AI systems need an owner. Our team provides the practical maintenance layer that keeps your automation useful, observable, and aligned with the business.

MonitorHealth, activity, errors, usage, and workflow outcomes.
MaintainPrompts, skills, knowledge, integrations, and credentials.
ImproveExceptions, quality, cost, new capabilities, and the next automation opportunity.
How our AI department works

Start focused. Scale when the results are clear.

  1. 01

    Analyze the business

    Map processes, roles, systems, bottlenecks, and repetitive work.

  2. 02

    Prioritize opportunities

    Choose the use case with the clearest value and practical path to launch.

  3. 03

    Implement and launch

    Build the agents, workflows, integrations, and controls with real users.

  4. 04

    Operate and expand

    Improve the first workflow, then find the next opportunity together.

Questions, answered

What to know before we start.

What does an outsourced AI department do?

We analyze your business processes, identify valuable AI opportunities, implement agents and workflows, connect them to your systems, and provide ongoing operations and maintenance.

Can Funkshin analyze our business before recommending agents?

Yes. We start by understanding your processes, systems, bottlenecks, and goals. We then recommend a practical first use case instead of forcing a generic AI solution.

What kinds of solutions can you implement?

We implement AI agents, multi-agent teams, knowledge workflows, lead and support operations, content processes, internal automations, and other repeatable business workflows.

Can you work with an existing prototype?

Yes. We can assess an existing prototype, improve its architecture, connect it to production systems, and add the monitoring and operating practices it needs.

Do you provide ongoing maintenance?

Yes. Ongoing support can include monitoring, troubleshooting, knowledge and prompt updates, integration maintenance, quality reviews, and incremental improvements.

Do we need an internal AI team?

No. We can act as your outsourced AI implementation and operations team, while working with your subject-matter experts to make sure the systems reflect how your business actually works.

Talk to your outsourced AI team

Tell us how your business works and what you want to improve.

Share a little context about your process or business problem. We will analyze the opportunity and recommend a practical path forward.

01 Business analysis02 Agent implementation03 Ongoing AI operations

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