AI & Workflow Automation

Use AI where it creates real leverage.

We identify focused opportunities for search, assistance, classification and workflow automation—then build them with human review and measurable boundaries.

What you get

From messy workflow to useful system

Workflow assessment

We find repetitive, high-friction tasks where automation can save time without creating unnecessary risk.

Knowledge experiences

Search and assisted-answer tools help teams work with approved internal content more efficiently.

Human checkpoints

Approval steps, confidence thresholds and audit trails keep important decisions visible and controllable.

System integration

Automation connects with the tools and data sources already used by the team instead of becoming another silo.

Practical AI, not theatre

Begin where the work actually slows down.

The strongest automation projects begin with a clear operational bottleneck. We design the workflow around approved information, accountable decisions and a result your team can actually measure.

  • 01

    Useful tied to a real task and owner

  • 02

    Controlled with human review where it matters

  • 03

    Measurable before the workflow expands

A tactile 3D Peach Coders illustration of an AI-assisted workflow with connected review steps

Automation stack

The right tools, working as one system.

We build around your workflow, then pick the platform that fits it.

n8n logon8n
Make logoMake
Zapier logoZapier
HubSpot logoHubSpot
Airtable logoAirtable
Slack logoSlack
Notion logoNotion
Google Workspace logoGoogle Workspace
Microsoft 365 logoMicrosoft 365
OpenAI APIs logoOpenAI APIs
Anthropic Claude logoAnthropic Claude
Salesforce logoSalesforce

Custom agent infrastructure

OpenClaw and Hermes, set up for the way your team works.

We configure hosting, models, tools, permissions, memory and human approval around a defined operational use case.

OpenClaw logoOpenClawCustom setup
Hermes Agent logoHermes AgentCustom setup

Final platform, model and hosting choices follow discovery, security requirements and the people responsible for the system.

Scope

What we deliver

Every engagement is scoped clearly up front — these are the shapes of work we take on most often.

How it happens

A controlled route from opportunity to operation

Scattered business inputs being mapped, inspected and organized into a structured workflow

Find the leverage

Map the current workflow, volumes, delays and review points before choosing a model or tool.

A focused AI orchestration flow transforming one input into a useful structured output

Prove one useful flow

Prototype the smallest end-to-end workflow that can demonstrate better speed, quality or access.

A human approving an automated result with permissions and an exception route kept visible

Add human control

Define approved sources, confidence thresholds, permissions, escalation paths and audit visibility.

An approved automation connecting to customer data, messaging, databases and measurable analytics

Integrate and measure

Connect the workflow to real systems, observe performance and expand only when the evidence supports it.

Industries

Experience where it counts

Budget planning guide

Plan the first useful automation.

Choose a focused validation sprint, an integrated production workflow or a wider automation roadmap. Final scope depends on systems, data sensitivity and review requirements.

Workflow fit assessment

$250–750

For identifying whether one workflow is suitable for automation before committing to a build.

  • Workflow and data assessment
  • Opportunity and risk review
  • Guardrail and rollout plan
Discuss your project

Wider AI roadmap

Quoted after assessment

For multiple workflows, deeper governance requirements or a phased automation roadmap.

  • Multi-workflow architecture
  • Monitoring and governance
  • Iteration and team enablement
Discuss your project

These are guide prices for defined scopes, not automatic quotes. Final deliverables, timing and price are agreed in writing before work begins.

Good to know

Frequently asked questions

Do we need an AI project specifically?

No. We start with the operational problem and only recommend AI when it is more useful than a simpler rules-based workflow.

Can you use our internal knowledge safely?

Architecture is planned around access controls, data minimization and approved sources. Final requirements depend on the sensitivity and systems involved.

How do you measure whether automation works?

We define practical measures such as time saved, completion rate, review effort and error reduction before expanding the workflow.

Let's make it real

Let's talk about AI & Automation.

Tell us where you are today and we'll map the smartest route to launch.

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