AI Systems, Automation & Dashboards
Automation and AI for the work you still do by hand
We map how the work happens today, then build the connections and AI-assisted steps that take the repetitive parts off your team. Your team can still understand and maintain it.
What an automation project includes
The tool is not the starting point. We define the job, the people involved, the data moving through it and what happens when something goes wrong before choosing the simplest reliable system.
Workflow and bottleneck mapping
We document the current steps, owners, repeated work and failure points, then define one worthwhile workflow to improve first.
System logic and safeguards
We design triggers, permissions, routing, human approvals, exception paths and alerts so the system has clear boundaries.
Build and integration
We connect the agreed tools, configure the workflow and add AI assistance only where it improves speed or quality in a testable way.
Testing, handover and support
We test normal and edge cases, document the operating flow, train its owners and define any monitoring or continued support separately.
The details
A defined automation build your team can trust
Here’s how we move from a manual workflow to a tested system with clear ownership, controls and handover.
| Phase | What’s included | What you receive | What it enables |
|---|---|---|---|
Workflow discoveryFind the real bottleneck | What’s included Current steps, owners, inputs, handoffs, repeated work, failure points, sensitive data and the result the workflow must support. | What you receive | What it enables A clear problem to solve without automating unnecessary work. |
System designDefine logic and control | What’s included Triggers, actions, data movement, permissions, human approvals, exceptions, error handling and success criteria. | What you receive | What it enables Everyone understands what the system may do, what still needs a person and how failure surfaces. |
Build & connectCreate the working system | What’s included Automation logic, integrations, routing, notifications, AI-assisted steps where useful and a controlled test environment. | What you receive | What it enables The intended workflow can run end to end before it touches normal operations. |
Testing & acceptanceProve the important paths | What’s included Normal cases, edge cases, permissions, error alerts, recovery steps, output quality and team acceptance testing. | What you receive | What it enables The team knows how the system behaves when work goes right and when it does not. |
Handover & supportPut ownership in place | What’s included Production launch, documentation, team walkthrough, monitoring responsibilities and any agreed support period. | What you receive | What it enables The automation becomes a manageable part of operations rather than a hidden dependency. |
The delivery path
From workflow map to tested handover
Automation timelines depend on integrations, access, data quality and edge cases. The proposal sets dates after discovery; this sequence shows the decisions each build must pass through.
-
Start
Map the workflow
- Name owners & inputs
- Find failure points
- Choose the first use case
-
Design gate
Approve the logic
- Define permissions
- Place human approvals
- Agree acceptance checks
-
Build
Connect and configure
- Build the workflow
- Connect agreed tools
- Add alerts & safeguards
-
Acceptance
Test the edge cases
- Run sample scenarios
- Resolve failures
- Receive team acceptance
-
Handover
Launch with ownership
- Document the system
- Train the owners
- Agree support needs
Pricing
The build, optional support and software costs are separate
You receive a fixed proposal for the defined workflow and acceptance criteria. Any ongoing support and third-party usage costs are shown outside that build fee.
What shapes the build price? The number of systems, quality of existing data, security requirements, exception paths, approval logic and depth of testing.
Defined automation build
A one-off project fee covers the agreed discovery, design, implementation, testing, documentation and handover.
Optional ongoing support
Monitoring, maintenance and later improvements can be retained separately when the workflow is important enough to need continued attention.
Software & usage
Platform subscriptions, API usage and model costs are paid separately and estimated from the approved system design where possible.
- Acceptance criteria agreed before the build
- Human approvals kept where risk requires them
- Third-party costs and ongoing support shown separately
Common questions
What should we automate first?
Usually the best starting point is a repeated workflow with clear inputs, ownership and a visible cost when it fails or takes too long. Discovery ranks the opportunities before any build is proposed.
Will every step be fully automated?
No. Decisions involving judgement, sensitive data, material risk or final approval may need a person in the loop. The system design states what can run automatically and where human review remains required.
Which tools do you use?
We choose tools after understanding the workflow. Our common stack includes n8n, Notion, Slack and selected AI services, but we can work with existing systems when they are suitable and accessible.
How do you prevent a brittle system?
The build includes agreed test cases, error alerts, recovery steps, permissions and documentation. We also define ownership so failures surface to a person who knows what to do next.
Is support included after handover?
The defined build includes the handover and support period stated in the proposal. Ongoing monitoring, maintenance, usage costs and later improvements are shown separately.
Find the workflow worth simplifying first
Tell us where work is repeated, delayed or dropped between people and tools. We will discuss whether automation is useful and what needs to be understood before building it.