Amazon Bedrock AgentCore, Azure AI Search, Microsoft Copilot Studio vs Gemini Enterprise

The registry records Amazon Bedrock AgentCore as available on vendor cloud or private cloud; it is scored here as enterprise SaaS.

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

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

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

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.

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.

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.

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.

Amazon Bedrock AgentCore 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.

Azure AI Search 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.

Microsoft Copilot Studio 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.

Gemini Enterprise 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.

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.

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.

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.

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.

External data transfer: yes. No catalogue deployment names Amazon Bedrock AgentCore, so this is read from “Customer-support AI agent on a SaaS platform”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Customers → Support AI agent (vendor platform) link.

External data transfer: yes. No catalogue deployment names Azure AI Search, so this is read from “Customer-support AI agent on a SaaS platform”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Customers → Support AI agent (vendor platform) link.

External data transfer: yes. Computed from “Microsoft 365 Copilot rollout with permissions first”, the catalogue deployment that names Microsoft Copilot Studio and best matches this brief. Confidential content leaves your control on the Employees → Microsoft 365 Copilot (Office apps, Business Chat) link.

External data transfer: yes. No catalogue deployment names Gemini Enterprise, so this is read from “Customer-support AI agent on a SaaS platform”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Customers → Support AI agent (vendor platform) link.

We have fetched a supported-countries page for Amazon Bedrock AgentCore, 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.[1]

We have fetched a supported-countries page for Azure AI Search, 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.[2]

We have fetched a supported-countries page for Microsoft Copilot Studio, 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.[2]

Gemini Enterprise's vendor publishes a data-residency page and we have fetched it. What it commits to for your region is a question for the document itself — publication is what we can observe. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.[3]

Published and fetched: data processing agreement, subprocessor list. Still open: training on customer data, zero retention option — ask the vendor.[4][5]

Published and fetched: data processing agreement, subprocessor list. Still open: training on customer data, zero retention option — ask the vendor.[6][7]

Published and fetched: data processing agreement, subprocessor list. Still open: training on customer data, zero retention option — ask the vendor.[6][7]

Published and fetched: data processing agreement, subprocessor list. Still open: training on customer data, zero retention option — ask the vendor.[8][9]

5–15 FDE-days to implement. No catalogue deployment names Amazon Bedrock AgentCore, so this is read from “Customer-support AI agent on a SaaS platform”, the best-matching enterprise SaaS deployment for this brief.

5–15 FDE-days to implement. No catalogue deployment names Azure AI Search, so this is read from “Customer-support AI agent on a SaaS platform”, the best-matching enterprise SaaS deployment for this brief.

10–30 FDE-days to implement. Computed from “Microsoft 365 Copilot rollout with permissions first”, the catalogue deployment that names Microsoft Copilot Studio and best matches this brief.

5–15 FDE-days to implement. No catalogue deployment names Gemini Enterprise, so this is read from “Customer-support AI agent on a SaaS platform”, the best-matching enterprise SaaS deployment for this brief.

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.

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.

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.

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.

3/5. 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.

3/5. 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.

3/5. 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.

3/5. 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.

USD 3,800 – 29,000 — one-off — for Amazon Bedrock AgentCore at this headcount. No catalogue deployment names Amazon Bedrock AgentCore, so this is read from “Customer-support AI agent on a SaaS platform”, 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.

USD 3,800 – 29,000 — one-off — for Azure AI Search at this headcount. No catalogue deployment names Azure AI Search, so this is read from “Customer-support AI agent on a SaaS platform”, 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.

USD 7,600 – 58,000 — one-off — for Microsoft Copilot Studio at this headcount. Computed from “Microsoft 365 Copilot rollout with permissions first”, the catalogue deployment that names Microsoft Copilot Studio and best matches 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.

USD 3,800 – 29,000 — one-off — for Gemini Enterprise at this headcount. No catalogue deployment names Gemini Enterprise, so this is read from “Customer-support AI agent on a SaaS platform”, 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.

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

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

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

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

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.

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.

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.

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.