AI systems & automation
Put AI to work where it earns its place.
Custom AI systems, workflow automation, and integrations built around your operation. Use cloud services, run models on your own systems, or combine the two around a clear business need.
The work
From a repeated task to a working system.
The starting point is the work: where information arrives, who handles it, and what happens next. We identify which steps need rules, which may benefit from AI, and which decisions should stay with your team.
Workflow assessment & system design
Map one process, establish a baseline, and identify a useful first implementation. Review data access, software integration options, operating costs, and the people who will own the result.
Cloud AI & connected tools
Build assistants, document workflows, and integrations using approved hosted services. Define which records can leave your environment, what the service may retain, and how users review the output.
Custom local AI systems
Evaluate and implement models on hardware you control when the workload calls for it. Test quality, response time, capacity, and recovery against your actual task; include the operating work in the decision.
Workflow automation & handover
Connect the resulting system to the tools your team uses. Build in human approval, exception handling, logs, and a way to stop or recover the workflow. Train the owner on the real process.
Define the finish line
Working means
we can show it.
The acceptance plan is part of the scope. We agree on the checks that matter to your project before implementation begins.
A representative set of approved inputs is checked against agreed quality criteria, including incomplete or ambiguous requests.
Permissions and review gates are tested; the system only takes the actions the scope allows.
Failure, retry, and handoff paths are exercised, and your team can inspect results and stop the workflow.
The handover includes operating instructions, recurring cost assumptions, and the same measures used for the baseline.
Scope & investment
A clear scope. A useful result.
We start with the outcome and the boundaries of the work. Your proposal separates the professional work, any third-party costs, and the support needed after handover.
Quoted to your scope
The fee and payment milestones are agreed before work begins. Changes to the scope are discussed and priced separately.
Our approach to pricingA written scope sets out
- One process or a defined set of connected workflows
- Approved data sources, system access, and action permissions
- Quality checks, exception handling, and team training
- Deployment, documentation, and post-launch responsibilities
What shapes the quote
- Input quality, document volume, and model requirements
- Available APIs, account permissions, and integration complexity
- Local hardware or hosted usage and storage costs
- Evaluation depth, rollout requirements, and support coverage
Ongoing support is scoped to your business: covered systems, planned work, availability, and response expectations are agreed in writing.
Before we begin
A few useful answers.
Do we need AI for every automation?
No. Rules, forms, and standard integrations can be the better answer for predictable work. We use AI where interpreting language, retrieving information, or preparing a draft adds enough value to justify its cost and review needs.
Can the system run entirely locally?
That can be a design requirement. We check model capability, hardware, source systems, and all external dependencies before committing to it. A local model alone does not make a workflow fully local if its connected tools still require cloud access.
What happens to private business data?
We define approved data sources, access, retention, and provider terms before implementation. The architecture should reflect those requirements, including whether a hosted service is suitable or a local approach deserves evaluation.
How do you measure whether it is worth building?
Agree on a baseline such as handling time, rework, or throughput. Compare it with an evaluated workflow and account for review time, hosting, model usage, maintenance, and exceptions. A recommendation can be to simplify the process without AI.
Do you offer ongoing support?
Yes. Ongoing support is scoped to your business and can cover system maintenance, evaluation, staff onboarding, and planned improvements. The proposal defines covered systems, work allocation, availability, and response expectations.
Tell us what needs to work.
Share the situation, the systems involved, and what a useful result would look like. We will help define the next step.
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