Ask ChatGPT the same question ten times and you can get ten different answers. For a homework essay, that’s fine. For a claim, a contract or a patient, it isn’t. This is the comparison that matters for business: generic AI against your own AI, built on your own data.
- Generic AI is a guess engine. Same prompt, different runs, different answers.
- It doesn’t know your business. It learned from the internet, not your records, rules or customers.
- Nobody checks its work but you. No validation, no accuracy number, no accountability.
- IAW builds your own AI. On your data, using the best of every leading model, validated on your real cases.
- And it’s in writing. We agree the target before we build, and keep working until it’s met.
Same question. Ten answers.
General-purpose models generate each answer by sampling from probabilities. Ask again and the wording, the reasoning and sometimes the conclusion change. The vendor also updates the model, so last month’s answer may not be this month’s.
- Run 1Approve
- Run 2Request more records
- Run 3Approve with conditions
- Run 4Deny: not medically necessary
- Run 5Approve
- Run 6Unclear, refer to reviewer
- Run 7Deny: missing prior treatment
- Run 8Approve
- Run 9Request more records
- Run 10Approve with conditions
- Run 1Approve · criteria 3 of 3 met · policy cited
- Run 2Approve · criteria 3 of 3 met · policy cited
- Run 3Approve · criteria 3 of 3 met · policy cited
- Run 4Approve · criteria 3 of 3 met · policy cited
- Run 5Approve · criteria 3 of 3 met · policy cited
- Run 6Approve · criteria 3 of 3 met · policy cited
- Run 7Approve · criteria 3 of 3 met · policy cited
- Run 8Approve · criteria 3 of 3 met · policy cited
- Run 9Approve · criteria 3 of 3 met · policy cited
- Run 10Approve · criteria 3 of 3 met · policy cited
Illustration of one prior-authorisation question asked ten times. It shows the pattern, not a recorded test.
Generic AI vs your own AI
| Generic AI (ChatGPT, Claude, Manus, Kimi, Genspark) | Custom AI from IAW | |
|---|---|---|
| Learns from | The public internet | Your records, policies, past decisions and data |
| Models | One vendor’s models | The best of every leading model, chosen for each task |
| Ask the same thing twice | Can get two different answers | Built and tested to return the same validated answer |
| Knows your rules | Only if someone pastes them in, every time | Built in and enforced on every output |
| Checks its own work | No | Validation rules check every output before it leaves |
| Accuracy | Unknown for your business | Measured on your own cases, every week |
| When a model changes | Your results change without warning | We pin versions and re-test before any upgrade |
| Who is accountable | You | IAW, against a written target |
Every leading model, one answer you can trust
Each of these products locks you into one vendor’s models. IAW builds one AI for your business on top of the best of them: a reasoning model for hard calls, a long-document model for contracts, a fast model for routine replies. It picks the right one for each input, then runs every answer through your data, your rules and validation before anyone sees it.
The comparison at a glance
| Product | What it is | Built on your data | Same question, same answer | Checked against your real cases | Result guarantee | Price (Oct 2026) |
|---|---|---|---|---|---|---|
| IAWIntelligent AI World | Your own AI: a custom agent, application or company-wide AI infrastructure, using the best of every leading model | Yes. Grounded on your records, rules and history | Built for it: fixed instructions, pinned model versions, validation rules and repeat testing | Yes. Scored on your own cases before launch and every week after | In writing. Miss the agreed target and we keep working at no extra fee | Fixed price, starting from $1,500 for a single results-oriented AI |
| ChatGPT | General-purpose AI assistant | Only what you paste or connect yourself | No. Answers vary between runs and change when the model is updated | No | None | Free to $200+ a month. Business from $25 a user |
| Claude | General-purpose AI assistant | Only what you paste or connect yourself | No. Answers vary between runs | No | None | Free. Pro $20. Max from $100. Team from $25 a seat |
| Claude Cowork | Claude acting on one person’s computer | Only the files on that desktop | No. Each run can take different steps | No | None | Included with paid Claude plans, from $20 a month |
| Manus | General autonomous agent in a cloud sandbox | Only what you upload | No. Each run plans its own path | No | None | About $20 to $200 a month, credit based |
| Kimi | General assistant and agents from Moonshot AI | Only what you upload | No. Answers vary between runs | No | None | $19 to $199 a month |
| Genspark | General “super agent” for decks, docs and research | Only what you upload | No. Output changes run to run | No | None | About $25 to $250 a month, credit based |
Prices are the vendors’ public US list prices on October 6, 2026, rounded. On a phone, swipe the table sideways.
What each one actually gives a business
| Product | Built on your data | Uses the best model for each task | Built for consistent answers | Validated on your cases | Inside your systems | Written result guarantee | Sign-off and audit trail by default | You own it |
|---|---|---|---|---|---|---|---|---|
| IAWIntelligent AI World | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| ChatGPT | Partly | No | No | No | Partly | No | Partly | No |
| Claude | Partly | No | No | No | Partly | No | Partly | No |
| Claude Cowork | Partly | No | No | No | Partly | No | Partly | No |
| Manus | Partly | No | No | No | No | No | Partly | No |
| Kimi | Partly | No | No | No | No | No | Partly | No |
| Genspark | Partly | Partly | No | No | No | No | Partly | No |
Generic AI gives you an answer. Your own AI gives you the right one, every time.Intelligent AI World
Where generic AI falls short
IAW (Intelligent AI World)
Your own AI agents, applications and company-wide AI infrastructure, built on your data.
What you get
- AI grounded on your records, rules and history
- The best of every leading model, chosen per task
- Built for consistent, repeatable answers
- Every output checked by validation rules
And
- Accuracy measured on your own cases, every week
- Built inside your CRM, EHR, inbox and files
- Human sign-off and a full audit trail
- Fixed price, you own it, target in writing
ChatGPT
General-purpose AI assistant from OpenAI.
Where it falls short for business
- Same prompt can return different answers on different runs
- Model updates can change results without warning
- Knows the internet, not your business, unless you paste it in
- You set it up, check it and fix it
- No accuracy number and no accountability for outcomes
Claude
General-purpose AI assistant from Anthropic.
Where it falls short for business
- Answers vary between runs
- Doesn’t know your rules unless you supply them each time
- Usage limits on heavy days unless you pay more
- No validation, accuracy measurement or result guarantee
Claude Cowork
Claude acting on one person’s computer.
Where it falls short for business
- Built for one person’s desk, not a company process
- Each run can take different steps on your files
- You have to supervise it
- No baseline, target or audit trail for the business
Manus
General autonomous agent in a cloud sandbox.
Where it falls short for business
- Each run plans its own path, so results vary
- Credits can burn unpredictably on long tasks
- Works away from your systems
- Generic outputs need checking before use
Kimi
General assistant and agents from Moonshot AI.
Where it falls short for business
- Answers vary between runs
- Little connection to your business systems
- Regulated buyers must review where data is processed
- No accountability for business results
Genspark
General “super agent” for decks, docs and research.
Where it falls short for business
- Output changes run to run
- Credit pricing makes costs hard to predict
- Template-looking results
- Not built into your workflow or data
How IAW gets you the same right answer
- Your data first. We build on your records, policies and past decisions, not the open internet.
- Measure today. Time, error rate and cost on your real work. The baseline comes before the model.
- Lock it down. Fixed instructions, pinned model versions and structured outputs, so answers don’t drift.
- Validate every answer. Rules check each output against your policies before it reaches anyone.
- Prove it on your cases. A test set from your own work, scored before launch and every week after.
- Hold us to it. The accuracy target is agreed in writing. Miss it, and we keep working at no additional fee for up to 60 days.
| Promise | What it means | Applies to |
|---|---|---|
| Finds value, or it’s free | If the AI Readiness Map doesn’t surface a workflow worth $200K a year (SMB) or $500K (mid-market and up), you don’t pay | AI Readiness Map |
| Hit the target, or we keep working | We agree an accuracy and ROI target before building. Miss it and we keep working at no additional fee for up to 60 days | Production Sprints |
| Fixed price, scoped in writing | You see the price, scope and delivery date before you pay. No hourly billing | Every build |
| You own it | The code, prompts, evaluations and data stay yours | Every build |
| Capped value share | Any share of measured value carries a written annual cap, agreed before you sign | Agent Operations |
Full terms are on the pricing page.
One agent, an app, or your whole company
Frequently asked questions
Why does ChatGPT give different answers to the same question?
General AI models generate answers by sampling, so the same prompt can produce different wording, reasoning and conclusions on different runs. The models are also updated over time, so answers can change from one month to the next.
How does IAW make answers consistent?
We build the AI on your own data, fix its instructions, pin model versions, enforce structured outputs, check every answer with validation rules, and re-test on your real cases before any change goes live.
Do I still need ChatGPT or Claude if I have IAW?
No. IAW builds your own AI on top of the best of the leading models, chooses the right one for each task, and adds your data, rules and validation. Your team works in one system built for your business instead of juggling generic tools.
What guarantee does IAW give?
We agree an accuracy and ROI target with you before building. On a Production Sprint, if we miss it, we keep working at no additional fee for up to 60 days. The AI Readiness Map is refunded if it doesn’t find a workflow worth $200K a year for an SMB, or $500K at mid-market and up.
How much does IAW cost?
Fixed prices start from $1,500 for a single results-oriented AI, scoped in writing before you pay. You own what we build.
See every IAW agent working, with its price and before-and-after numbers, on the agents page. Or start a build and get a fixed price in writing.
Sources: ChatGPT pricing; Claude pricing; Manus pricing; Kimi pricing; Genspark pricing summary (eesel); 9to5Google on OpenAI Dots. ChatGPT, Claude, Cowork, Manus, Kimi and Genspark are trademarks of their owners. IAW is not affiliated with them.