AI FOR DAILY BUSINESS TASKS
Keep your AI tools running
Once your team relies on an AI tool, they need to know who keeps it working and what it costs. We set up hosting, tested updates and failure alerts in your cloud account or on your equipment. Your team gets operating instructions and visibility of errors and spending. Ongoing support is agreed separately.
AI AT WORKExample: spotting a problem with an AI tool
- Check speed, errors and cost
- Alert the responsible person
- Your team approves a tested fix
See failures and running costs clearly, with an agreed person responsible for acting on alerts.
What you get
These are possible parts of a full project. The audit identifies what you need, a separately priced pilot checks the value, and you decide on implementation after seeing the results. See what each stage includes.
Checked updates
Each new version is tested before release, with a way to restore the previous version if needed.
Visible running costs
Track the cost of requests and use of computing equipment, so spending decisions use measured figures.
A plan for busy periods and failures
Checks detect unavailable services. Agreed capacity limits and fallback steps help the team respond.
Repeatable quality checks
Saved test cases run before a new version reaches staff, helping catch mistakes early.
What we can set up
We agree which of these tasks your project needs before quoting the work.
Set up the required equipment
Configure the cloud or company servers and specialist computing hardware needed by the chosen AI tool.
Handle the expected workload
Test response times and capacity using the number and type of requests your business expects.
Keep the setup repeatable
Record server settings and package the software so it can be installed consistently.
Control software updates
Test new versions, introduce changes in stages and retain a way back to the previous version.
Alert the right people
Track slow responses, errors, capacity use and changes in answer quality. Agree who receives each alert.
Compare running-cost options
Measure the cost of suitable hosting and processing options on your actual work before recommending changes.
Where this could make a difference
Possible applications, not completed client projects or promised results.
Review a growing AI bill
Compare the current paid AI service with running a suitable model on dedicated equipment. Check quality and operating effort before choosing.
Keep processing within your company
Run an AI model inside your own network when data cannot leave it.
Check an update before staff receive it
Compare the new version with the current one on saved business examples. Release only if it meets the agreed criteria.
How a project runs
We agree the task, test it with your staff and review the results before putting it into daily use.
Step 1: Measure today’s service
Record request volumes, response times, spending and common failures.
Step 2: Compare suitable setups
Show the cost, required equipment and work needed to run each option.
Step 3: Build and test the move
Set up the service, test busy periods and move work in stages, with written operating instructions.
Step 4: Train the team
Show your staff how to operate and update the service. Agree ongoing support separately if needed.
What to check before starting
- The service runs in your accounts or on your equipment, keeping access and spending under your control.
- The setup must fit your team’s ability to run it. Additional infrastructure is only recommended when its benefits justify the work and cost.
Technical details for your IT team
Tools are chosen for your existing systems and project requirements. You do not need to choose these before discussing the business task.
- Docker
- Kubernetes · when your team already runs itoptional
- Cloud GPUs
- REST APIs
- Monitoring · metrics, logs, alerts
- Linux
- CI/CD pipelines · on your existing platform
Common questions
Should we use the cloud or our own servers?
We compare workload, data rules, equipment costs and the people available to run the service. You receive options with clear running costs and responsibilities.
Can you work with our IT team?
Yes. We use the team’s existing tools where suitable and document the setup so they can run it afterwards.
Can you lower our current AI running costs?
We first measure where the money goes, then test suitable changes to equipment, processing and hosting. The comparison shows whether savings are possible without unacceptable loss of speed or quality.
Related tasks we can help with
- AI trained for your business tasksWhen AI keeps misreading product terms or sorting requests incorrectly, adapting it to your examples may reduce corrections. We compare it with your current method before recommending daily use.
- AI that prepares work in your existing systemsReduce copying between tools: read requests, prepare replies and update agreed records. Your team approves outgoing messages and important changes.
AI AT WORKCheck the results before staff rely on AI
- Choose real work examples
- Check AI results against correct answers
- Your team decides whether to launch
Find incorrect answers and missing information during testing, before the tool enters daily use.
CHECK THE BUSINESS CASE
Will this save your team enough work?
We agree how to measure time spent, errors and running costs. The pilot gives you evidence for the decision about a full build.
See how we test the idea
LET'S TALK ABOUT YOUR BUSINESS
What would your team do with more time?
In a 20-minute call, tell us what your team types, copies or searches for every day, and what those hours could be used for instead. We'll explore where AI could help and what we need to check.
Let's talk about your business20 minutes to explore what takes up your team's time