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AI Layer

Your business, with an AI team inside.

Agents shaped around your departments, connected to your knowledge and tools. One command center, built for the way your team works.

Discuss AI LayerSee it in action
A tour of the AI Layer overview and agent workspace.
The command centerDemo workspace · Sample data
What makes it work

Intelligence, with
your business in mind.

The model brings the reasoning. Your context gives it direction. AI Layer brings the right agents and tools together to do the work.

The reasoning
ClaudeClaude
or
OpenAIOpenAI GPT

A model chosen for the workflow.

Your context engine
  • Company knowledge & playbooks
  • Relevant client & business records
  • Working history & operating rules
AI Layer

The orchestration.

One request.
The right responsibilities.

Routes the workCarries the contextTracks the task

Sales agents

Research. Prepare. Follow up.

Marketing agents

Analyse. Brief. Report.

Operations agents

Coordinate. Organise. Deliver.

Connected to the tools you use.Scoped access. Defined permissions.
SlackNotionHubSpotGoogle DriveGmailMicrosoft Teams
Illustrative architecture. Models, agents and connections are configured for your deployment.
August prepares a draft from a supplied brief.
A conversation with AugustDemo workspace · Sample data
One place to start

Meet August.

Give August a brief and review the response in the same workspace. We configure the supporting knowledge, tools and department workflows for your deployment.

From a request to the next useful step.

See the work taking shape, with your team close to the decision.

From a request to a result

The work moves.
You stay in control.

You ask

“Prepare the follow-up from our client call.”

1

Gather the context.

Meeting notesClient recordTone of voice
2

Sales agent

Turns the discussion into a clear next step.

3

Bring the result back.

The work and its supporting context arrive in your command center.

Example output

A follow-up, ready to review.

  • The decisions you agreed
  • Owners for each next step
  • A draft in your company’s voice

Your account lead reviews the draft before it is sent.

GmailApproved message → client

Illustrative workflows. Your rules define what runs automatically and what needs a person’s approval.

Human control, built in

Your team keeps
the final say.

Define which tasks can run and which need review. Proposed changes, external messages and spending decisions follow the approval rules agreed for your deployment.

Prepare. Review. Approve.

This demo request is pending. No external action was performed.

AI Layer approval request containing the supplied brief, with the external-action status marked false.
A request awaiting reviewDemo workspace · Sample data
Your operation sets the shape

Built around you.
Department by department.

Your sales process, client knowledge and operating rules become the context for the build. Our in-house team brings the agents, integrations and dashboard together.

The AI Layer demo agent fleet, showing configured department roles.
Different responsibilities. Shared business context.Demo workspace · Sample data
  1. 01

    Map the work.

    Choose the workflow, its source information and the people responsible for the result.

  2. 02

    Build the layer.

    Configure the agents, connect the agreed tools and define where human review belongs.

  3. 03

    Put it to use.

    Test representative tasks, train your team and hand over the operating documentation.

Three weeks in. What changed?

James runs LEED Agency. Hear how he’s putting AI to work.

Focus the video player and press Space or K to play or pause. Use the playback and volume sliders to seek and adjust sound.

LEED Agency
James MagreeOwner, LEED Agency
RECAST client & distribution partnerExplore the relationship

James shares his experience using OpenClaw for client landing pages and agency work.

The work behind the product

Inside real businesses.

Explore our work
Bryant Ward
Scaling Webinars

Eight agents. Shared business context.

Department agents and a command center for acquisition, content, webinars, sales and onboarding.

RECAST technical check · May 30, 2026
Alex Momeni
ConvertSail

Campaigns connected to the agency.

Six specialist agents bring campaign analysis, meeting context and team channels into the workflow.

RECAST technical check · May 30, 2026
Matt Bignold
White Wolf Nutrition

Two brands. The right context for each.

Separate brand context and verified Klaviyo segment retrieval for White Wolf and BlackWolf.

RECAST technical check · May 30, 2026 · Connections phased
Tristan Gruszkos
Gruszkos Consulting

Your knowledge, ready for real work.

Eight agents bring consulting knowledge, voice notes and research into one German-and-English workspace.

RECAST technical check · May 30, 2026
Tanja Windisch-Hlinomaz
Werkstatt Lichtenthal

An AI teammate for the office.

Flotte Lotte brings office tasks, documents and project context into a workspace the team can review.

RECAST case-study source · August 27, 2026 · Human-approved work
Louis Appert
Full Stack Agency

Agency context, brought together.

Atlas and a hosted Agency OS bring agency and client context into one operating foundation.

RECAST technical check · May 30, 2026
James Magree
LEED Agency

Client knowledge, put to work.

Client-specific reporting built around James’s rules, files and prior work. James reported daily use.

Client-reported adoption · May 24, 2026 · Client & distribution partner
Remy Beaumont
Z Media

Eight specialists, working through Slack.

Knowledge, meeting follow-up and affiliate workflows in a Slack-native operating layer.

RECAST live audit · July 2, 2026
Jane Benjamin
Care Networks

Recruitment work, with context in place.

Research, JobAdder record checks and outreach preparation around Jane’s recruitment operation.

RECAST case-study source · Client & distribution partner
William Straka
Athletes University

Four roles. One knowledge foundation.

Four department agents work with shared course knowledge across marketing, sales and client success.

RECAST technical check · May 30, 2026 · Connections phased
Lukas Stern
ALDEA

A clear start for the agency’s AI.

A Discord-based AI workspace ready for supervised use, with clear setup guidance and provider status.

Source: August 27, 2026 · Supervised workspace · Integrations pending
Tyler Hart
HC Grillz

Support preparation. Owner control.

Atlas prepares order lookups and support drafts, with the owner reviewing the next action.

RECAST case-study source · August 27, 2026 · Supervised support

A few useful details.

Does it connect to our existing tools?

We scope connections around your systems, available APIs and permissions. The demo shows a sample configuration; your provider connections are built and tested as part of your deployment.

What changes for our business?

The departments, agents, knowledge, workflows and dashboard are shaped around your operation. We agree the scope and acceptance criteria before the build.

How does OpenClaw fit in?

AI Layer is built on RECAST’s fork of OpenClaw, configured and deployed by our team for your business.

What would your AI team
take off your plate?

Bring us the workflow your people keep carrying manually.

Discuss AI Layer