Compare
Gemini Enterprise, Amazon Bedrock AgentCore, LangGraph vs Microsoft Copilot Studio
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 — nothing on this page is anchored in a fetched document yet
- Evidence
- none on this page — it links to the pages that hold it
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
- Agent workflow
- Also
- AI customer-support agent · Department assistant · Employee helpdesk
- Jurisdictions
- none stated
- Industry
- unknown
- Employees
- unknown
- Data
- confidential yes · privileged unknown · personal likely · sensitive unknown
- Local processing
- not required
- Cloud allowed
- unknown
- Users
- unknown
- Capability
- unknown
- Preference
- no preference
- Data risk
- high
interpreted by: rules (deterministic mode) · confidence 40%
unresolved: 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
| Dimension | Gemini EnterpriseToolCONSIDER IF…for enterprise SaaS under this brief | Amazon Bedrock AgentCoreToolCONSIDER IF…for enterprise SaaS under this brief | LangGraphToolSTRONG ALTERNATIVEfor self-hosted under this brief | Microsoft Copilot StudioToolCONSIDER 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 Gemini Enterprise as available only on vendor cloud; it is scored here as enterprise SaaS. ASSESSMENT | Enterprise SaaS The registry records Amazon Bedrock AgentCore as available on vendor cloud or private cloud; it is scored here as enterprise SaaS. ASSESSMENT | Self-hosted The registry records LangGraph as available on self-hosted or private cloud or vendor cloud; it is scored here as self-hosted. ASSESSMENT | Enterprise SaaS The registry records Microsoft Copilot Studio 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 — self-hosted 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). | 87% Covers your main objective (agent workflow) and 2 of 3 secondary objectives (department assistant, employee helpdesk). ASSESSMENT | 87% Covers your main objective (agent workflow) and 2 of 3 secondary objectives (AI customer-support agent, employee helpdesk). ASSESSMENT | 87% Covers your main objective (agent workflow) and 2 of 3 secondary objectives (AI customer-support agent, department assistant). ASSESSMENT | 100% Covers your main objective (agent workflow) and 3 of 3 secondary objectives (AI customer-support agent, department assistant, employee helpdesk). 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. You did not name a cloud you already run on, so no design is favoured on that basis. ASSESSMENT | 74% You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. You did not name a cloud you already run on, so no design is favoured on that basis. ASSESSMENT | 74% You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. You did not name a cloud you already run on, so no design is favoured on that basis. ASSESSMENT | 74% You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. You did not name a cloud you already run on, so no design is favoured on that basis. 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 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. ASSESSMENT | some External data transfer: some. Computed from “Agent workflow on a managed cloud runtime”, the catalogue deployment that names Amazon Bedrock AgentCore and best matches this brief. Confidential content leaves your premises for your own cloud tenancy ("Private endpoints"). You keep control of the account; the provider is a processor, so a DPA and a documented region apply. ASSESSMENT | yes External data transfer: yes. Computed from “Agent workflow on a model vendor’s API”, the catalogue deployment that names LangGraph and best matches 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. 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. ASSESSMENT |
| Data residencyVendor documents we have fetched. A residency commitment we have not read is “unknown” — never assumed (CONTENT-RULES §5). | unknown We hold no fetched residency commitment for Gemini Enterprise. 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 Amazon Bedrock AgentCore. 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 | you decide Self-hosted: the content stays wherever you run the server, so residency is a property of your own infrastructure rather than a vendor commitment. ASSESSMENT | unknown We hold no fetched residency commitment for Microsoft Copilot Studio. 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. | unknown We have fetched none of the four commitments for Gemini Enterprise: 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 Amazon Bedrock AgentCore: 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 | not applicable Run on your own infrastructure, so the vendor questions apply only to whatever you still buy. We hold none of the four commitments for this subject, and for a self-hosted deployment none of them is required. ASSESSMENT | unknown We have fetched none of the four commitments for Microsoft Copilot Studio: 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). | 5–15 FDE-days 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. ASSESSMENT | 8–20 FDE-days 8–20 FDE-days to implement. Computed from “Agent workflow on a managed cloud runtime”, the catalogue deployment that names Amazon Bedrock AgentCore and best matches this brief. ASSESSMENT | 8–22 FDE-days 8–22 FDE-days to implement. Computed from “Agent workflow on a model vendor’s API”, the catalogue deployment that names LangGraph and best matches this brief. ASSESSMENT | 10–30 FDE-days 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. 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. | 3/5 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. ASSESSMENT | 4/5 4/5. Starting point 2/5: your own tenancy to build in, but no hardware to buy or rack. +0.5 You run the model server yourself: GPU drivers, quantisation choice, memory headroom and restarts are all yours to own. 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 | 3/5 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. 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 3,800 – 29,000 + licences 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. ASSESSMENT | USD 6,100 – 39,000 + licences USD 6,100 – 39,000 — one-off — for Amazon Bedrock AgentCore at this headcount. Computed from “Agent workflow on a managed cloud runtime”, the catalogue deployment that names Amazon Bedrock AgentCore 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. ASSESSMENT | USD 6,100 – 43,000 USD 6,100 – 43,000 — one-off — for LangGraph at this headcount. Computed from “Agent workflow on a model vendor’s API”, the catalogue deployment that names LangGraph and best matches this brief. ASSESSMENT | USD 7,600 – 58,000 + licences 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. ASSESSMENT |
| CustomisationRegistry entry: whether the source is open and where the deployment can be changed. | vendor-configured Gemini Enterprise is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line. ASSESSMENT | vendor-configured Amazon Bedrock AgentCore is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line. ASSESSMENT | source available The registry files LangGraph as open source, so the interface, retrieval behaviour and the model behind it can be changed — subject to the licence, which is a fetched fact on its own page. ASSESSMENT | vendor-configured Microsoft Copilot Studio 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 | 7 issues · 0 cited 7 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 |
Comparing
- Gemini Enterpriseremove Gemini Enterprise from this comparison
- Amazon Bedrock AgentCoreremove Amazon Bedrock AgentCore from this comparison
- LangGraphremove LangGraph from this comparison
- Microsoft Copilot Studioremove Microsoft Copilot Studio from this comparison
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
- Baseten
- Cerebras Inference
- Fireworks AI
- Gemini API
- GroqCloud
- Microsoft Foundry Agent Service
- Mistral Studio
03What this does not tell you
- WARNINGCompare no jurisdictioncompare_no_jurisdiction
No jurisdiction was supplied, so only the cross-cutting rules ran. A comparison for a regulated deployment should name one.
- MINORCompare objective derivedcompare_objective_derived
No objective was given, so functional fit is measured against agent workflow — the use case most of these subjects share. Add one to the link to measure a different job.
- MINORCompare recipe substitutedcompare_recipe_substituted
No catalogue deployment names Gemini Enterprise, so its cost, effort and difficulty are read from “Customer-support AI agent on a SaaS platform”, 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
No sources were recorded for this answer. Nothing on this page should be treated as verified.