Select the deals worth comparing
Bring together permitted deal records, stages, outcome dates, amounts, and win or loss reasons.
AI agent for analytics consultants and agencies
Your AI sales deal analysis agent. Explain win and loss patterns with evidence.
Create an AI agent for sales deal analysis with its own web page. Your agent groups supported win and loss patterns and distinguishes observed correlations from explanations still needing evidence. Give clients a deal analysis report with traceable records and discussion questions.
Your method. Their request. A deal analysis report with traceable records and discussion questions.
01
Your client starts a conversation.Your client can exclude deals still open and recalculate the win-loss comparison.
02
Illustrative previewThe page becomes their result.The agent keeps a deal analysis report with traceable records and discussion questions with the conversation.
- ~10-15 minFirst demo
- ~2-4 hoursWorking agent
- 1 clickPublish
Overview
Agentplace lets analytics consultants and agencies create an AI agent for sales deal analysis with its own page and URL. The user is a business client exploring their own authorized data. They open the link and explain their request by text or voice. The service works from permitted deal records, stages, outcome dates, amounts, and win or loss reasons. You supply the business rules and connected records, while the client adds or clarifies their own details. The agent groups supported win and loss patterns and distinguishes observed correlations from explanations still needing evidence. The result is a deal analysis report with traceable records and discussion questions.
The client can exclude deals still open and recalculate the win-loss comparison. The agent updates the relevant information and result on the same page, using your metric definitions, analysis method, accepted data sources, comparison rules, and reporting templates. The service is the work completed with the client, not a form that merely sends their request to somebody else. Offer a paid analysis session or include the agent in an ongoing client reporting service. Clients connect or supply their own permitted data and receive findings they can question and revise.
Connect Google Sheets, Azure OpenAI where the service needs their records or actions.
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What you get
Your expertise. A deal analysis report with traceable records and discussion questions.
Clients receive a deal analysis report with traceable records and discussion questions. Your agent groups supported win and loss patterns and distinguishes observed correlations from explanations still needing evidence. The agent keeps the result on its own page and revises it as the client clarifies what they need.
Offer a paid analysis session or include the agent in an ongoing client reporting service. Clients connect or supply their own permitted data and receive findings they can question and revise.
Trace patterns to recorded outcomes
Group supported win and loss patterns and distinguish observed correlations from explanations still needing evidence.
Refine the win-loss comparison
Return a deal analysis report with traceable records and discussion questions. The client can exclude deals still open and recalculate the win-loss comparison.
- Sales Deal Analysis
- Text and voice
- A personal result page
- Your chosen connections
A pattern in CRM notes is not a causal proof or a forecast guarantee. Azure OpenAI and Sheets are optional configured processing tools. The illustrative preview shows the service result without claiming an active external connection.
Why it's the best fit
Complete sales deal analysis in the conversation.
Your AI agent performs the work a conventional page can only describe. The difference is visible when the client needs to exclude deals still open and recalculate the win-loss comparison.
The agent combines your method, the client's context, and the current result. Some traditional tools can reproduce individual parts with additional configuration. This template brings those parts into the customer-facing service, with the limits and connected actions you choose.
 Your AI sales deal analysis agentOne specialist. The whole client experience. | The extra workWith traditional tools Websites, fixed-flow apps, and chat widgets. |
|---|---|
| 01The client experience | |
| Complete the actual task The client works directly with your AI agent. It groups supported win and loss patterns and distinguishes observed correlations from explanations still needing evidence. They receive a deal analysis report with traceable records and discussion questions during the configured session, with missing information and completion status clearly distinguished. | With traditional toolsA brochure website A brochure page can describe your sales deal analysis offer and list requirements. Producing a deal analysis report with traceable records and discussion questions still needs a separate process that combines permitted deal records, stages, outcome dates, amounts, and win or loss reasons. The page itself does not complete that work. |
| Revise the same result The client can exclude deals still open and recalculate the win-loss comparison in ordinary language. The agent uses your service rules to update the relevant content and components on the same page rather than starting a second disconnected request. | With traditional toolsA fixed-flow app A fixed sequence can collect predefined fields. When a client needs to exclude deals still open and recalculate the win-loss comparison, your application needs the relevant rules, state, calculations, and exception paths designed and connected. A saved form response alone does not revise the service result. |
| Keep evidence and action together Text or voice supplies the conversation while the page holds the current result. Three loss notes mention a delayed buying decision. Source details and open questions remain available, so the client can understand what changed and continue from the agreed state. | With traditional toolsA standalone chat widget A chat widget can explain the request and personalize its wording. Keeping a deal analysis report with traceable records and discussion questions current beside the underlying records and connected actions requires additional application logic. The client otherwise has to reconcile message versions and separate files. |
| 02Everything that comes with your agent | |
| Your expertise stays in the service Use your metric definitions, analysis method, accepted data sources, comparison rules, and reporting templates throughout the session. Group supported win and loss patterns and distinguish observed correlations from explanations still needing evidence. The client does not need to invent the process or supply your expertise again. | With traditional toolsA general-purpose assistant The client must reconstruct the service method and decide which source materials and permissions are appropriate. A fluent answer alone does not establish that a deal analysis report with traceable records and discussion questions follows your rules. |
| The result changes with the request When the client wants to exclude deals still open and recalculate the win-loss comparison, the relevant content and result components can update together. Keep the latest decision visible instead of creating conflicting files or message versions. | With traditional toolsSeparate forms and files A revised answer must be carried between intake, calculations, documents, and the delivery system. Each extra transfer creates another place where the previous choice can remain in use. |
| Text, voice, and the page work together Clients can explain the situation by text or voice while inspecting a deal analysis report with traceable records and discussion questions. The same service rules apply to the result, even when the client uses different wording or another language. | With traditional toolsA fixed navigation path The client has to understand which field, screen, or menu contains the next step. Additional conversational controls still need to be connected to the actual working result. |
| Connected work has a visible state Use only the records and actions you connect. Show whether the result is ready, a request is pending, or an external system has confirmed completion. A pattern in CRM notes is not a causal proof or a forecast guarantee. Azure OpenAI and Sheets are optional configured processing tools. | With traditional toolsDisconnected action links A separate booking, payment, email, or export link can lose the agreed context. The customer may be unsure whether the service completed an action or merely suggested it. |
Some traditional tools offer individual capabilities. Agentplace brings them into one AI service. Connect the payments, calendar, phone, CRM, and follow-up channels you want to use.
How it works
How to create your sales deal analysis agent
Start with a representative client request and the evidence your service needs. Test the usable result before adding optional channels. Launch times are planning estimates. A demo can use fictional materials. A working service needs your actual rules, permitted connections, and checks with representative client requests.
- 01
Describe the business task
Define the client and the result. The agent combines permitted deal records, stages, outcome dates, amounts, and win or loss reasons to produce a deal analysis report with traceable records and discussion questions. Distinguish the records and rules supplied by your business from the details requested from the client. Add your metric definitions, analysis method, accepted data sources, comparison rules, and reporting templates. Keep the first configuration focused on that complete task rather than a list of unrelated AI features.
- 02
Connect the necessary records and actions
Connect Google Sheets, Azure OpenAI when they supply the relevant records or perform the chosen action. Add only the connections your client service needs and verify their access before launch. Choose the client access rules and test one permitted read or action at a time. A client can use the agent by opening its link. Additional delivery channels are optional unless the promised action requires them.
- 03
Test a change and publish
Use a fictional case, then ask the agent to exclude deals still open and recalculate the win-loss comparison. Check the resulting content, evidence, and external status. Test a missing record and an unsupported request too. Once the configured service works, publish its page and share the link with the clients you intend to serve.
Made for your kind of business
Sales Deal Analysis for analytics consultants and agencies
Analytics agency owners
Turn your sales deal analysis expertise into a service clients can use directly. You define the information, permitted actions, and result quality rather than leaving each client to reconstruct your method in a general-purpose assistant.
Independent analytics consultants
Keep a deal analysis report with traceable records and discussion questions with the client's supplied context. Your team can receive the agreed result and the remaining exception, instead of repeating the same fact-finding questions after the client has already answered them.
Client reporting managers
Offer a clear route from an initial request to a usable outcome. This matters when clients need to exclude deals still open and recalculate the win-loss comparison, because the change affects the work itself rather than only the wording of an answer.
Start with your specialtyAnalytics agency ownersIndependent analytics consultantsClient reporting managers
Your service, your starting point
Your expertise and source records
Begin with your metric definitions, analysis method, accepted data sources, comparison rules, and reporting templates. Add the records and tools this particular client outcome requires. Choose the relevant apps below and connect the accounts your agent should use.
Start with my serviceGoogle Analytics
Read reports from the client's chosen property. Connect the relevant account and choose which records and actions the agent can use.
BigQuery
Query the client's approved reporting dataset. Connect the relevant account and choose which records and actions the agent can use.
HubSpot
Connect permitted CRM results to the analysis. Connect the relevant account and choose which records and actions the agent can use.
Google Sheets
Compare metrics and share the analysis. Connect the relevant account and choose which records and actions the agent can use.
Calendly
Schedule an analysis review. Connect the relevant account and choose which records and actions the agent can use.
Gmail
Deliver the client's findings and actions. Connect the relevant account and choose which records and actions the agent can use.
Integrations
Tools your AI sales deal analysis agent can connect
Connect the tools you use to deliver this service. Your agent can use their records and actions while helping clients on its own page. Choose the relevant connections below and decide what it can read, create, or send.
- Google AnalyticsRead reports from the client's chosen property
- BigQueryQuery the client's approved reporting dataset
- HubSpotConnect permitted CRM results to the analysis
- Google SheetsCompare metrics and share the analysis
- CalendlySchedule an analysis review
- GmailDeliver the client's findings and actions
Your AI
sales deal analysis agent
sales deal analysis agent
Your expertise.
Their personal result.
One connected service.
Go further with 1,000+ integrations.
Agentplace connects to business tools through Composio's catalog of over 1,000 integrations. These six examples are a starting point. Choose the apps and actions your agent needs while clients keep working on its page.
Available connections depend on the app's API and your account permissions.
Browse the integration catalogConnected agents
Connect to your ChatGPT or Claude agents
Your sales deal analysis agent remains the customer-facing service. It can pass selected context to your existing ChatGPT or Claude agents or automations and bring useful results back into the client's page.
For Taylor's example, a connected workflow could check the supporting records while this agent keeps a deal analysis report with traceable records and discussion questions and the conversation together. Configure only the data access and delegated work you want.
Your clients Taylor
Late-stage losses cluster around timing
Deal size alone does not explain the observed losses. Your AI
sales deal analysis agent
sales deal analysis agent
Your expertise.
Their personal result.
One connected service.
Your back-office agents
ChatGPT
Claude
- Supporting record checks
- Defined result preparation
- Configured follow-up
A few things to know
AI Sales Deal Analysis Agent FAQ
What is an AI agent for sales deal analysis?
It is a client-facing agent that groups supported win and loss patterns and distinguishes observed correlations from explanations still needing evidence. It combines permitted deal records, stages, outcome dates, amounts, and win or loss reasons to produce a deal analysis report with traceable records and discussion questions. You supply the service rules and records, and the client supplies their own relevant details. The agent has its own page and URL, where the conversation and the current result stay together.
What does the client need to provide?
The client explains their situation and supplies the relevant details or documents they are authorized to share. The service as a whole uses permitted deal records, stages, outcome dates, amounts, and win or loss reasons. Your business supplies its own policies, source connections, and decision rules. The customer is not asked to configure those. A client can answer follow-up questions without understanding your internal systems. If a required source or permission is missing, the agent should explain the resulting limit rather than fabricate the missing fact.
What can the client change after the first result?
For example, the client can exclude deals still open and recalculate the win-loss comparison. The agent keeps the relevant prior context and revises the affected result. In the illustrative preview, deal size alone does not explain the observed losses. The client can inspect the changed information and continue with the same task.
What are the important service limits?
A pattern in CRM notes is not a causal proof or a forecast guarantee. Azure OpenAI and Sheets are optional configured processing tools. Configure this boundary as part of the service, not as a hidden note after a successful-looking result. A pending request, a confirmed external action, and a completed professional outcome must not be presented as the same thing.
Which records and connections are needed?
Connect Google Sheets, Azure OpenAI when they supply the relevant records or perform the chosen action. Add only the connections your client service needs and verify their access before launch. Start with representative sample materials, then connect the live sources required for the actual client task. Verify access permissions and result states before allowing the agent to act on a real account.
How can this fit into our business offer?
Offer a paid analysis session or include the agent in an ongoing client reporting service. Clients connect or supply their own permitted data and receive findings they can question and revise. Define what the client receives, which follow-up is included, and what requires a separate engagement. The page should make that distinction before payment or booking rather than hiding it behind a generic next-step button.
How do we test this agent before launch?
Test a complete request, a missing source, an incorrect input, and a client revision. In particular, test what happens when the client asks to exclude deals still open and recalculate the win-loss comparison. Check that the visible result matches the supporting record and that the service respects this boundary. A pattern in CRM notes is not a causal proof or a forecast guarantee. Azure OpenAI and Sheets are optional configured processing tools.
Is the example connected to a real client account?
No. Taylor's preview is a fictional illustration of sales deal analysis. The displayed values, people, records, and statuses are examples. It demonstrates the kind of result your configured service can deliver, without implying that a live account, booking, payment, or other external action has been executed.
What platform does the AI Sales Deal Analysis Agent run on?
It runs on Agentplace. Agentplace is an AI agent platform where the agent gets its own page, talks to your visitors there, and carries the request through to the end instead of handing it to a form. You can open this template and change any step before you publish it.
Let clients start with your expertise
Bring sales deal analysis
into the conversation.
Create an AI agent that delivers a deal analysis report with traceable records and discussion questions. Add your method, test the client's revision, and share the agent's own link.
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