Every business owner has now been told to "use AI". Fewer have been told how, and almost none have the time to learn a stack of tools, write prompts, connect APIs and fix things when they break. Full-Service AI exists for that gap.
This article explains what the model is, how it compares to the alternatives, what the first thirty days actually involve, what it costs, and what you should insist on before signing.
The definition
Full-Service AI (managed AI) is an ongoing engagement where a partner:
- Audits your operations to find where AI will save the most hours or recover the most revenue
- Builds the agents and workflows - lead response, support triage, CRM updates, reporting, document processing
- Deploys them into your existing tools (inbox, CRM, help desk, calendar, Slack)
- Monitors them every day for accuracy and failures
- Tunes them every week against the metric you agreed
- Reports to you in a form you can read in two minutes
You approve outputs where approval is needed and make decisions about what to automate next. That is the whole job on your side.
Managed AI vs. the alternatives
| AI tools (DIY) | AI consultant | One-off build | Full-Service AI | |
|---|---|---|---|---|
| Who designs the workflow | You | Consultant | Vendor | Partner |
| Who builds it | You | You (or a dev) | Vendor | Partner |
| Who runs it day to day | You | You | You | Partner |
| Who fixes it when an API changes | You | Nobody | Nobody (or paid change request) | Partner |
| Who is accountable for the metric | Nobody | Nobody | Nobody | Partner |
| Cost profile | Subscriptions + your time | Day rate | Project fee | Flat monthly |
| Typical lifespan | Months, then decay | Advice document | Works until first breakage | Ongoing, improving |
The honest summary: tools and one-off builds work if you have someone technical who will own them. Most businesses under 50 people do not, and the automation quietly stops working three months in.
Language models drift, APIs change, your business changes. A lead-response agent that was 96% accurate in March is 88% accurate in June if nobody is watching. Weekly tuning against real outputs is what keeps managed AI working and is the single biggest difference from a one-off build.
The first 30 days
Week 1 - Audit. The partner reviews a sample of your inbox, CRM activity, support tickets and calendar, and interviews two or three people. Output: a one-page list of candidate workflows ranked by value, with a baseline number for each.
Week 2 - Build. The first workflow is built and connected to your tools. Guardrails are set: approval steps, limits, logging, PII handling.
Week 3 - Launch in review mode. The workflow runs, but a person approves outputs. Accuracy is measured against every approval and edit.
Week 4 - Tune and decide. Prompts, knowledge and logic are adjusted from real data. Categories with high accuracy move to autonomous. You get the first weekly report and decide on workflow two.
From then on, each week has the same shape: monitor, tune, report, and add the next workflow when the last one is stable.
What it costs
| Scope | USD | GBP | AUD | CAD | NZD |
|---|---|---|---|---|---|
| 1-2 workflows, per month | $1,500 - $2,500 | £1,150 - £1,950 | A$2,250 - A$3,750 | C$2,050 - C$3,400 | NZ$2,500 - NZ$4,150 |
| 3-6 workflows, per month | $3,000 - $6,000 | £2,350 - £4,700 | A$4,500 - A$9,000 | C$4,100 - C$8,150 | NZ$4,950 - NZ$9,900 |
| Enterprise (multi-team, custom SLAs), per month | $8,000 - $20,000 | £6,250 - £15,600 | A$12,000 - A$30,000 | C$10,900 - C$27,200 | NZ$13,200 - NZ$33,000 |
Non-USD figures are indicative conversions; we invoice in USD, GBP or AUD.
For comparison, a single additional operations or support hire costs $45,000-$80,000 per year in the US, £28,000-£45,000 in the UK and A$60,000-A$90,000 in Australia. Managed AI at $2,500 per month is $30,000 per year and usually absorbs the work of one to two such roles as the business grows.
What to insist on before signing
- A named metric per workflow and a baseline measured before launch
- Flat monthly fee with model usage included or capped - no surprise API bills
- Month-to-month terms, two weeks notice
- Ownership of everything built: prompts, workflows, integrations, documentation, all in your accounts
- Data terms: enterprise API tiers that do not train on your data, regional hosting (US, UK/EU, Australia), least-privilege access, a DPA if you need one
- A weekly report you can actually read
- Human review on anything that commits money or makes a promise to a customer
GridCore's Full-Service AI
We run managed AI for owner-operated and mid-sized businesses in the US, UK and Australia. The engagement is exactly the one described above: one-week audit, first workflow live in two weeks, weekly tuning and reporting, flat monthly fee, month-to-month, everything owned by you. Data is handled in your region.
Learn more about Full-Service AI, read our guide to AI automation for small business, or book a free audit call.
