AI agent for software and it agencies
Create an AI project scoping agent with its own web page. Give clients a first-release scope with user journeys, acceptance examples, dependencies, and open decisions through conversation.
Give clients a usable scope before they know every feature they need.
Your client starts a conversation.Your client talks through the details by text or voice.
The page becomes their result.The agent updates the result across its whole page.
Agentplace lets software and it agencies create a customer-facing AI project scoping agent. The agent has its own page and URL, where your clients receive a first-release scope with user journeys, acceptance examples, dependencies, and open decisions. You provide your discovery method, supported technology patterns, scope examples, estimation rules, integration options, and delivery boundaries and define the service it is allowed to deliver.
The agent asks what people need to accomplish before choosing features. It turns the described workflow into a small first release, distinguishes required capabilities from later ideas, and explains dependencies in language the client can understand. Removing a mobile app from the first release updates the journeys and integration requirements. Adding role-based approvals changes permissions and acceptance examples, not just the feature count.
Sell a structured discovery session with the AI specialist. Or let clients book a technical consultation with their agreed first-release brief and open questions already prepared. The conversation is the means to do the work. The page is the usable result, with the current choices, explanations, and next actions visible together.
Start free with your business idea. Our AI builder can help you explore it, answer questions, and create your agent. No technical specification needed. Sign in to continue.
What you get
Your AI project scoping agent gets its own page and URL. Clients open the link, describe the business workflow, users, existing systems, pain points, constraints, budget expectations, and desired launch outcome, and talk by text or voice. Using your discovery method, supported technology patterns, scope examples, estimation rules, integration options, and delivery boundaries, it delivers a first-release scope with user journeys, acceptance examples, dependencies, and open decisions. The result stays on the page as clients ask questions and make changes.
Sell a structured discovery session with the AI specialist. Or let clients book a technical consultation with their agreed first-release brief and open questions already prepared.
Ask about the business workflow, users, existing systems, pain points, constraints, budget expectations, and desired launch outcome. Follow up on the details that affect the result instead of requiring the client to know every field in advance. Show what is known and make missing information easy to resolve.
Create a first-release scope with user journeys, acceptance examples, dependencies, and open decisions. The agent asks what people need to accomplish before choosing features. It turns the described workflow into a small first release, distinguishes required capabilities from later ideas, and explains dependencies in language the client can understand. Keep the client's accepted choices visible while explaining the alternatives.
Sell a structured discovery session with the AI specialist. Or let clients book a technical consultation with their agreed first-release brief and open questions already prepared. You choose the scope, price, and connected actions. The client can use the result from the first visit instead of waiting for a callback simply to understand the options.
A project scope your client can understand.
Why it's the best fit
Give clients a usable scope before they know every feature they need.
The agent asks what people need to accomplish before choosing features. It turns the described workflow into a small first release, distinguishes required capabilities from later ideas, and explains dependencies in language the client can understand. The agent combines your expertise, a conversation, and a page that displays a first-release scope with user journeys, acceptance examples, dependencies, and open decisions.
| Your AI project scoping agent One specialist. The whole client experience. | The extra workWith traditional tools Websites, fixed-flow apps, and chat widgets. |
|---|---|
| 01The client experience | |
| A service during the visit Your AI project scoping agent performs the first part of your service directly for the client. It uses your materials, explains decisions, and returns a result the client can inspect during the visit. | With traditional toolsA brochure website A conventional service page can show your examples and explain your offer. The client still needs another step to turn the business workflow, users, existing systems, pain points, constraints, budget expectations, and desired launch outcome into a first-release scope with user journeys, acceptance examples, dependencies, and open decisions. |
| Room for changing requirements Removing a mobile app from the first release updates the journeys and integration requirements. Adding role-based approvals changes permissions and acceptance examples, not just the feature count. The agent can ask a clarifying question when the next decision depends on information the client has not supplied. | With traditional toolsA fixed-flow app A fixed-flow application can handle the paths it was designed for. Unusual combinations and changing priorities need extra logic or a separate conversation before the result can be revised. |
| The result is the interface The whole page presents the service output. Clients work with a first-release scope with user journeys, acceptance examples, dependencies, and open decisions, with the conversation available in the bottom input. The current version remains clear as the discussion continues. | With traditional toolsA standalone chat widget A standalone chat widget can personalize an answer. Producing and revising a first-release scope with user journeys, acceptance examples, dependencies, and open decisions as a coherent visual service needs the relevant tools, state, and interface beyond the message thread. |
| 02Everything that comes with your agent | |
| Keep decisions together The agent retains the agreed context while clients refine a first-release scope with user journeys, acceptance examples, dependencies, and open decisions. Related parts of the page update together. | With traditional toolsDisconnected forms and files Choices spread across separate forms, messages, and documents need reconciliation when the brief changes. |
| Talk through uncertainty Clients can describe the business workflow, users, existing systems, pain points, constraints, budget expectations, and desired launch outcome in ordinary language. The agent asks for the detail needed to proceed. | With traditional toolsA fixed intake questionnaire A prepared set of fields can collect known answers but needs additional paths when a client cannot yet specify the solution. |
| Use text or voice The same customer-facing service can accept text or voice in the browser. Phone access is a separate channel to configure when it fits your offer. | With traditional toolsA separate appointment A call can be valuable, but making it the only way to start means the client must coordinate a time before receiving the first result. |
| Offer paid digital work Sell a structured discovery session with the AI specialist. Or let clients book a technical consultation with their agreed first-release brief and open questions already prepared. | With traditional toolsA page that only describes services A conventional service page needs a separate delivery process to provide the personalized work someone is paying for. |
| Bring your method Use your discovery method, supported technology patterns, scope examples, estimation rules, integration options, and delivery boundaries. The service reflects the choices and limits of your business. | With traditional toolsA general-purpose assistant Clients must supply the right expertise, instructions, and tools themselves when they start with a general assistant that does not know your service. |
| Continue with the result With the selected tools connected, send the agreed output to an email, appointment, or team workflow without asking the client to describe the situation again. | With traditional toolsA fresh handoff An isolated planning conversation needs a separate transfer step before another person or system can act on its result. |
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
Bring your knowledge, test the client experience, and publish the agent. Start with one clear service and test it with representative client requests. Add connected actions when they support that service.
Provide your discovery method, supported technology patterns, scope examples, estimation rules, integration options, and delivery boundaries. Define the questions about the business workflow, users, existing systems, pain points, constraints, budget expectations, and desired launch outcome that matter most. Start with one representative service and examples of a useful result so the agent has a concrete standard to follow.
Test a normal request, a changed requirement, and a request with missing information. Confirm that the agent produces a first-release scope with user journeys, acceptance examples, dependencies, and open decisions and updates related details consistently. A discovery brief is not a fixed delivery quote, a security assessment, or proof that a third-party API supports every request. Show assumptions and identify dependencies that require verification.
Publish the agent's page and share its link with clients. Sell a structured discovery session with the AI specialist. Or let clients book a technical consultation with their agreed first-release brief and open questions already prepared. Connect only the payment, booking, delivery, or team workflow that belongs to your initial offer. Add other tools when a tested client task requires them.
Made for your kind of business
Offer a first-release scope with user journeys, acceptance examples, dependencies, and open decisions as a service clients can start from your link. Your method becomes something a first-time visitor can use, even before your business has a large volume of inquiries.
Bring your own process and examples into a focused AI project scoping agent. Clients arrive at a later consultation or project discussion with a tangible result and a clearer idea of the decisions they need to make.
Define a repeatable first service without forcing every client through the same rigid questionnaire. Give clients a usable scope before they know every feature they need. Keep your specialist team available for the deeper work or exceptions your offer includes.
Your service, your starting point
Connect the materials and tools your chosen service needs. Choose the relevant apps below and connect the accounts your agent should use.
Start with my expertiseTechnical references. Connect the relevant account and choose which records and actions the agent can use.
Review shared interface designs and comments. Connect the relevant account and choose which records and actions the agent can use.
Create agreed project tasks for your team. Connect the relevant account and choose which records and actions the agent can use.
Use the client's requirements and documentation. Connect the relevant account and choose which records and actions the agent can use.
Schedule a project scoping review. Connect the relevant account and choose which records and actions the agent can use.
Deliver the agreed project plan. Connect the relevant account and choose which records and actions the agent can use.
Integrations
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.
Your expertise.
Their personal result.
One connected service.
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
Your AI project scoping agent stays with the client. It can pass selected context to your existing ChatGPT or Claude agents for supporting work, then bring the useful result back into the same experience.
Check integration assumptions.
A focused first release
Three roles, without a mobile app Your expertise.
Their personal result.
One connected service.
A few things to know
An AI project scoping agent is a customer-facing digital specialist that uses your knowledge and tools to deliver a first-release scope with user journeys, acceptance examples, dependencies, and open decisions. In Agentplace, it has its own page and URL. Clients talk by text or voice, and the agent updates the visible result as they work through the task.
The product is the AI project scoping agent, including the interface it controls. A conventional website primarily presents prepared pages, while a chat widget typically answers inside a message thread. Here the agent performs the service and chooses the components and content that show the client's current result.
Start with your discovery method, supported technology patterns, scope examples, estimation rules, integration options, and delivery boundaries. Explain the service scope, the decisions the agent may make, and the information it must ask the client to confirm. A discovery brief is not a fixed delivery quote, a security assessment, or proof that a third-party API supports every request. Show assumptions and identify dependencies that require verification.
Your discovery method can require each feature to support a user outcome. The agent can separate the first release from later ideas, explain the consequences of including them, and retain an explicit out-of-scope list.
It can show a preliminary range when your agency supplies a suitable estimation method. Keep assumptions and unknown integrations visible. Do not present a scope-based range as a fixed delivery commitment.
Sell a structured discovery session with the AI specialist. Or let clients book a technical consultation with their agreed first-release brief and open questions already prepared. Payment access must be configured with the provider you choose. Describe what the client receives, what is included in the fee, and whether any separate appointment or project remains optional.
No. The preview is a static illustration of one fictional client experience. It shows how a first-release scope with user journeys, acceptance examples, dependencies, and open decisions can appear as the agent's response. Create your own agent, provide your materials, connect any required tools, and test the actual workflow before offering the service to clients.
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.
Your expertise can start working at the first visit
Create an AI project scoping agent, add your knowledge, and publish its page. Give clients a first-release scope with user journeys, acceptance examples, dependencies, and open decisions from a link they can open and use.
Create my AI agent
Create my AI agent