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Custom Agent Systems

Forward-deployed agent systems mapped to your real operations.

Not a chatbot retainer. Semawork embeds with your team, maps workflows, connects tools, deploys multi-step agent systems with human review, and improves from feedback.

Who Custom Agent Systems is for

  • Marketing, ops, and service teams with repetitive multi-step work across tools
  • Operators who outgrew Zapier/Make but do not want a black-box SaaS agent
  • Teams ready for a scoped pilot on one high-leverage workflow before expanding
  • Technical and non-technical buyers who need measurable operational outcomes

Problems it solves

Scattered AI usage

ChatGPT in every tab — no system, no memory, no team workflow.

Fragile automations

Triggers break when context matters or tools change.

No review gates

Sensitive actions go out without human approval.

Agency slide decks

Recommendations without anything deployed in your stack.

Isolated chatbots

FAQ bots disconnected from CRM, docs, and real handoffs.

No improvement loop

Corrections do not feed back into how the next task runs.

What the system does

We map one operational workflow, design agent steps and tool integrations, deploy a usable first version inside your environment, and run weekly reviews so edge cases become playbook updates.

Example workflows

1

Lead research and briefing

Agents gather signals, draft briefs, and route to sales with human review.

2

Content ops pipeline

Research → outline → draft → review → publish with tool connections.

3

Reporting assistant

Pull metrics from multiple sources, draft summaries, flag anomalies for humans.

4

CRM hygiene and follow-up

Route leads, suggest next actions, escalate exceptions to operators.

5

Knowledge copilot

Answer from approved internal docs with citations and escalation paths.

Human-in-the-loop safety layer

High-impact actions — sends, publishes, CRM updates, client-facing messages — pass through review gates. Edge cases are logged and improved, not ignored.

TaskAgent draftHuman reviewExecuteLearn

Pilot process

1

Map the workflow

We document how work actually moves through your team, tools, and handoffs.

2

Deploy the agent system

We connect agents to your stack and ship a usable first workflow — not a slide deck.

3

Review and approve safely

Humans stay in control for high-impact actions, escalations, and edge cases.

4

Improve from feedback

Every review and edge case feeds back into how the system handles the next request.

What clients receive in a pilot

Typically a 30-day forward-deployed sprint on one workflow — audit, design, deploy, document, train, and roadmap.

  • Workflow and tools audit
  • AI opportunity map for the scoped workflow
  • One working agent system in your stack
  • Integration with your existing tools
  • Documentation and team walkthrough
  • Next-phase roadmap with honest scope boundaries

How it compares

Custom Agent Systems
CapabilityTraditional automationGeneric chatbotSemawork
Engagement modelAgency retainerSaaS subscriptionFDE partner + operational pilot
DeliverableRecommendationsWidgetDeployed workflow in your tools
Tool integrationVariesOften standaloneOrchestrates your stack
Improvement loopStatic after deliveryLimited tuningFeedback updates playbooks

Frequently asked questions

Is this a generic AI agency retainer?

No. We scope a pilot on one workflow, deploy inside your tools, and measure operational change — not endless strategy decks.

What tools do you integrate with?

CRM, email, Slack, Notion, Google Workspace, CMS, telephony, and custom APIs — scoped to what your pilot workflow needs.

Do you promise full automation?

No. We design human review into sensitive steps. The goal is leverage and consistency, not removing your team from judgment calls.

How long does a first pilot take?

Most first workflows run as a 30-day sprint after scoping call — one usable system, not a platform rebuild.

Talk about an operational pilot

Let's map one workflow, deploy a usable system, and measure what changes.

Book a 20-min pilot call