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Azure AI Document Intelligence, GitHub Copilot, Kimi Open Platform vs Cursor

Every row below is computed for the brief in section 01. Nothing here is a universal score.

Source
Registry and rules engines over one brief, 3 cells anchored in 5 fetched records
Verified
20 Sep 2026
Confidence
Medium

01The brief this answers

No context was supplied, so this is a generic reading. Every figure below would move for a real brief.

The same tool can score differently for a different brief.

Objective
AI coding assistant
Jurisdictions
none stated
Industry
unknown
Employees
unknown
Data
confidential material: yes · legally privileged material: not stated · personal data: likely · sensitive personal data: not stated
Local processing
not required
Cloud allowed
unknown
Users
unknown
Capability
unknown
Preferred setup
you did not state one
Data risk
high

Read by fixed rules, no language model · 40% confident it read the question correctly

We could not place: organisation.industry, requirements.dataResidency, requirements.existingStack, budget, jurisdictions.primary, organisation.employees, data sensitivity, deploymentPreference, technicalCapability


Not accounted for

Nothing in this comparison depends on your industry, any residency requirement, the systems you already run, your budget, the jurisdiction you operate in, your headcount, how sensitive the material is, a hosting preference or the technical capability you have in-house — none of it was supplied. Where a figure would move for one of those, it is stated as an assumption rather than hidden inside the number.


02Comparison

4 subjects · 13 dimensions
DimensionAzure AI Document IntelligenceToolCONSIDER IF…for enterprise SaaS under this briefGitHub CopilotToolCONSIDER IF…for enterprise SaaS under this briefKimi Open PlatformToolSTRONG ALTERNATIVEfor a model vendor's API under this briefCursorToolCONSIDER IF…for enterprise SaaS under this brief
Deployment modelRegistry entry: how this is delivered, and which solution class it is scored as.
Enterprise SaaS

The registry records Azure AI Document Intelligence as available on vendor cloud or private cloud or on-premise enterprise; it is scored here as enterprise SaaS.

ASSESSMENT
Enterprise SaaS

The registry records GitHub Copilot as available only on vendor cloud; it is scored here as enterprise SaaS.

ASSESSMENT
Model API

The registry records Kimi Open Platform as available only on vendor_api; it is scored here as a model vendor's API.

ASSESSMENT
Enterprise SaaS

The registry records Cursor as available only on vendor cloud; it is scored here as enterprise SaaS.

ASSESSMENT
Verdict for this briefSolution-class analysis (buildOptions) over this brief. The verdict is on the class of answer, not on the product.
CONSIDER IF…

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

RECOMMENDATION
CONSIDER IF…

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

RECOMMENDATION
STRONG ALTERNATIVE

For this brief — confidential documents — a model vendor's API is a strong alternative. Change the brief and this verdict changes.

RECOMMENDATION
CONSIDER IF…

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

RECOMMENDATION
Functional fitOntology overlap between the objective in this brief and the use cases the registry records for the subject (matchRecipes). Recorded for tools; not recorded per model.
0%

Built for OCR, invoice extraction, data extraction, document classification, which does not include AI coding assistant.

ASSESSMENT
100%

Covers your main objective (AI coding assistant).

ASSESSMENT
unknown

Kimi Open Platform is a platform for running a model you choose, not a product built for one job, so there is no use-case overlap to measure — what it does depends on what you build on it. The fit that can be assessed is the deployment's, in the rows below.

ASSESSMENT
100%

Covers your main objective (AI coding assistant).

ASSESSMENT
Deployment fitHosting preference, data egress, headcount band and technical capability, weighted 0.30 / 0.35 / 0.15 / 0.20 (matchRecipes).
74%

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. This is a vendor-operated service. Your cloud account does not determine where it runs; confirm the vendor’s data processing and integration with your existing systems.

ASSESSMENT
74%

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. This is a vendor-operated service. Your cloud account does not determine where it runs; confirm the vendor’s data processing and integration with your existing systems.

ASSESSMENT
74%

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. The model runs through the vendor’s API. Your application may use your existing cloud, but the vendor’s processing location and terms need separate review.

ASSESSMENT
74%

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. This is a vendor-operated service. Your cloud account does not determine where it runs; confirm the vendor’s data processing and integration with your existing systems.

ASSESSMENT
Data controlExternal transfer computed from the architecture graph of the deployment (computeExternalTransfer) — what actually crosses out of your network.
yes

External data transfer: yes. No catalogue deployment names Azure AI Document Intelligence, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

ASSESSMENT
yes

External data transfer: yes. No catalogue deployment names GitHub Copilot, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

ASSESSMENT
yes

External data transfer: yes. No catalogue deployment names Kimi Open Platform, so this is read from “Agent workflow on a model vendor’s API”, the best-matching a model vendor's API deployment for this brief. Confidential content leaves your control on the Tools + retrieval (your APIs and data) → Vendor model API link.

ASSESSMENT
yes

External data transfer: yes. No catalogue deployment names Cursor, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

ASSESSMENT
Data residencyVendor documents we have fetched. A residency commitment we have not read is “unknown” — never assumed (CONTENT-RULES §5).
unknown

We have fetched a supported-countries page for Azure AI Document Intelligence, which says where the product may be bought — not where content is processed or stored. No residency commitment has been read, so the residency question is unknown. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.

ASSESSMENT
unknown

We hold no fetched residency commitment for GitHub Copilot. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.

ASSESSMENT
unknown

We hold no fetched residency commitment for Kimi Open Platform. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in China (mainland), which is where a transfer question starts, not where it ends.

ASSESSMENT
unknown

We hold no fetched residency commitment for Cursor. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.

ASSESSMENT
Governance controlsThe four commitments a processor is asked for — DPA, subprocessor list, no training on your content, zero retention — counted against fetched vendor documents.
2 of 4

Published and fetched: data processing agreement, subprocessor list. Still open: training on customer data, zero retention option — ask the vendor.

FACT
2 of 4

Published and fetched: data processing agreement, subprocessor list. Still open: training on customer data, zero retention option — ask the vendor.

FACT
unknown

We have fetched none of the four commitments for Kimi Open Platform: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

ASSESSMENT
unknown

We have fetched none of the four commitments for Cursor: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

ASSESSMENT
Integration effortThe FDE-day band the catalogue deployment was costed from (RECIPE_IMPLEMENTATION_DAYS).
4–12 FDE-days

4–12 FDE-days to implement. No catalogue deployment names Azure AI Document Intelligence, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

ASSESSMENT
4–12 FDE-days

4–12 FDE-days to implement. No catalogue deployment names GitHub Copilot, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

ASSESSMENT
8–22 FDE-days

8–22 FDE-days to implement. No catalogue deployment names Kimi Open Platform, so this is read from “Agent workflow on a model vendor’s API”, the best-matching a model vendor's API deployment for this brief.

ASSESSMENT
4–12 FDE-days

4–12 FDE-days to implement. No catalogue deployment names Cursor, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

ASSESSMENT
Maintenance burdenWho operates the result, read from the solution class and the difficulty factors the deployment carries.
vendor-operated

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

ASSESSMENT
vendor-operated

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

ASSESSMENT
you operate it

You own the identity integration and joiner/leaver process, the connectors and their credentials, operating-system patching and backups. Assessed difficulty 3/5 is the shape of that work; someone has to hold it after go-live.

ASSESSMENT
vendor-operated

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

ASSESSMENT
Deployment difficultyDifficulty 1–5 for the deployment and for this team (scoreDifficulty): the same stack scores lower for an organisation with its own engineers.
2/5

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

ASSESSMENT
2/5

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

ASSESSMENT
3/5

3/5. Starting point 2/5: software you install, run and keep running on your own machines. -0.5 The model runs on the vendor’s infrastructure: there is no capacity planning, no GPU driver, no model upgrade window and no failover for you to design.

ASSESSMENT
2/5

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

ASSESSMENT
Estimated costIndicative cost for this headcount (estimateCost), plus any per-token price we have actually fetched. A price we have not read is not printed.
USD 3,100 – 23,000 + licences

USD 3,100 – 23,000 — one-off — for Azure AI Document Intelligence at this headcount. No catalogue deployment names Azure AI Document Intelligence, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

ASSESSMENT
USD 3,100 – 23,000 + licences

USD 3,100 – 23,000 — one-off — for GitHub Copilot at this headcount. No catalogue deployment names GitHub Copilot, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

ASSESSMENT
USD 6,100 – 43,000

USD 6,100 – 43,000 — one-off — for Kimi Open Platform at this headcount. No catalogue deployment names Kimi Open Platform, so this is read from “Agent workflow on a model vendor’s API”, the best-matching a model vendor's API deployment for this brief.

ASSESSMENT
USD 3,100 – 23,000 + licences

USD 3,100 – 23,000 — one-off — for Cursor at this headcount. No catalogue deployment names Cursor, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

ASSESSMENT
CustomisationRegistry entry: whether the source is open and where the deployment can be changed.
vendor-configured

Azure AI Document Intelligence is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

ASSESSMENT
vendor-configured

GitHub Copilot is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

ASSESSMENT
vendor-configured

Kimi Open Platform is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

ASSESSMENT
vendor-configured

Cursor is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

ASSESSMENT
Relevant compliance evidenceThe compliance engine over this brief and this subject (assessCompliance), with each issue cited to the instrument it quotes where the page was fetched.
8 issues · 0 cited

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

ASSESSMENT
8 issues · 0 cited

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

ASSESSMENT
8 issues · 0 cited

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

ASSESSMENT
8 issues · 0 cited

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

ASSESSMENT

Add one that serves the same objective

This table is full at 4 subjects. Remove one to add another — beyond four, the columns stop being readable and the comparison stops being one.

  • Anthropic API
  • Continue
  • DeepSeek API
  • LiteLLM
  • Ollama
  • Tabby
  • xAI API
  • Z.ai API

03What this does not tell you

  • WARNINGCompare no jurisdiction

    No jurisdiction was supplied, so only the cross-cutting rules ran. A comparison for a regulated deployment should name one.

  • MINORCompare objective derived

    No objective was given, so functional fit is measured against AI coding assistant — the use case most of these subjects share. Add one to the link to measure a different job.

  • MINORCompare recipe substituted

    No catalogue deployment names Azure AI Document Intelligence, so its cost, effort and difficulty are read from “Enterprise SaaS assistant with governance controls”, the closest enterprise SaaS deployment for this brief.

  • MINORCompare recipe substituted

    No catalogue deployment names GitHub Copilot, so its cost, effort and difficulty are read from “Enterprise SaaS assistant with governance controls”, the closest enterprise SaaS deployment for this brief.

  • MINORCompare recipe substituted

    No catalogue deployment names Kimi Open Platform, so its cost, effort and difficulty are read from “Agent workflow on a model vendor’s API”, the closest a model vendor's API deployment for this brief.

  • MINORCompare recipe substituted

    No catalogue deployment names Cursor, so its cost, effort and difficulty are read from “Enterprise SaaS assistant with governance controls”, the closest enterprise SaaS deployment for this brief.

Structured issue-spotting to support your own review — not legal advice. Verify against the cited primary sources and your counsel.


04Evidence

5 records
  1. 01
    Tier 2official vendor legal documentationVendor legal and technical documentation

    Region availability for Foundry Models sold by Azure - Microsoft Foundry

    https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure-region-availability

    AgeingRetrieved 20 Sep 2026sha256:006f84ba9ea6

    1 record

  2. 02
    Tier 2official vendor legal documentationVendor legal and technical documentation

    Licensing Documents

    https://www.microsoft.com/licensing/docs/view/Microsoft-Products-and-Services-Data-Protection-Addendum-DPA

    AgeingRetrieved 20 Sep 2026sha256:7bcef261059f

    1 record

  3. 03
    Tier 2official vendor legal documentationVendor legal and technical documentation

    Microsoft Data Access | Microsoft Trust Center

    https://www.microsoft.com/en-us/trust-center/privacy/data-access

    AgeingRetrieved 20 Sep 2026sha256:a771da2496e7

    1 record

  4. 04
    Tier 2official vendor legal documentationVendor legal and technical documentation

    Privacy Policies - GitHub Docs

    https://docs.github.com/en/site-policy/privacy-policies

    AgeingRetrieved 20 Sep 2026sha256:b4f59186e3df

    1 record

  5. 05
    Tier 2official vendor legal documentationVendor legal and technical documentation

    GitHub Subprocessors - GitHub Docs

    https://docs.github.com/en/site-policy/privacy-policies/github-subprocessors

    AgeingRetrieved 20 Sep 2026sha256:c0d305dd02d5

    1 record


05Next