# NocodeAssistant: AI Agent Development Services **URL:** https://www.nocodeassistant.agency/ai-agents/ **Rating:** 4.9/5 on G2 (9 reviews) Custom AI agents for operations teams. Connect your tools, reduce manual work, and keep approval with your team. Fixed-scope builds from $3,000. We build agents that prepare quotes, check invoices, and route leads for operations teams at mid-market companies. They connect your tools and follow rules for what your team must approve. Builds start at $3,000 and take 2 to 12 weeks, depending on scope. **[Book a free intro call](/go/intro-call?cta_label=ai-agents-hero).** ## What is an AI agent? An AI agent is software that uses AI to interpret a request and carry out steps in your tools. It can draft a quote or check an order. We define what it can do and when a person must review the work. - **Reads:** Finds the relevant details in an email, document, or form. - **Checks:** Compares the request with your records and business rules. - **Acts:** Drafts a quote, updates a record, or routes the work within its permissions. - **Asks:** Sends cases that need approval or more information to your team. Fixed rules handle predictable steps. AI can help when the wording or document format varies. Your team still sets the rules for decisions, exceptions, and approval. ## AI agent development services - **Lead intake and qualification.** Read a new enquiry, check it against your criteria, and route it to the right person with the details attached. - **Quote preparation.** Read the order request and draft a quote from your price rules. Your team reviews it before it goes to the customer. - **Invoice and document matching.** Read invoice details, compare them with the purchase order, and flag missing or conflicting information for review. - **Support requests.** Look up an order, answer routine questions from approved records, and send other requests to your support team with context. - **Follow-ups and reminders.** Check for overdue payments or unanswered quotes. Prepare or send reminders according to the rules you approve. - **Reporting.** Collect figures from your tools, compare periods, and prepare a summary for your team to review. If your team needs an approval queue, a dashboard, or a way to correct the agent's work, we build that interface too. The scope and price include the interface you need. ### Need a customer chatbot? We also build AI chatbots for tasks such as order status, booking, and support. We define which questions the chatbot should answer, which records it can use, and when it should send the conversation to a person. Pricing follows the scope shown below. ## Pricing We agree on the work and fixed price before development starts. The connected systems, approval steps, and interface determine the scope. - **AI readiness audit: $999 fixed.** A written assessment with ranked opportunities and build-or-buy advice for your top three. Includes discovery and a report walkthrough. The report is ready 5 business days after discovery. - **Single process agent: $3,000 to $5,000 fixed.** An agent for one defined process, connected to the agreed system, with tests and documentation. Allow 2 to 4 weeks. - **Multi-system agent: $5,000 to $10,000 fixed.** An agent that works across the agreed systems, with tests for its tasks, access, and actions. Allow 4 to 8 weeks. - **Agent and interface: $12,000 to $30,000 fixed.** An agent and an interface for approvals, changes, and status. Allow 8 to 12 weeks. - **Monthly agent care: $750 to $2,500 per month.** Optional monitoring, checks for changes in behaviour, fixes, and quarterly security tests. The audit is optional. Its $999 fee is credited in full toward a build with us. If we find no automation opportunity worth more than the audit fee, we refund it. [See the AI readiness audit](/ai-audit/). ## Before-launch checks A useful demo is only the start. We test the agent's answers and actions against the agreed tasks. We also check whether a message or document can make it reveal private data or take an action without permission. We define the information it can use, the actions it can take, and the cases your team must review. The test results show where it works and where it needs a limit or a fix. [View our security test code](https://github.com/himanshu-nocodeassistant/guardrails). ## Client results These projects show the task, the result, and the work that still needs people. - **Dinsko · DTC footwear · Sweden.** After 90 days, the agent resolved 47% of tier-1 tickets without human help, about a third of all tickets. It checks orders and return rules, then submits eligible refund requests. It does not issue refunds itself. Other cases go to the support team with context. [Read the case study](/blog/ai-support-agent-ecommerce/). - **Private family office.** The tool searches 2,200 filings and transcripts and links answers to source passages. The client reported that committee research preparation fell from 2–3 days to 10 minutes after 60 days. If an answer fails its source check, the tool shows passages for review. Investment decisions stay with the team. [Read the case study](/blog/ai-search-tool-sec-filings/). Need to connect several steps across your tools? [See our AI automation service](/ai-automation-agency/). ## How we work We agree on the scope, build the agent, test it before launch, and provide the instructions your team needs to run it. 1. **Scope:** We review the process with the people who use it. The scope defines the systems, tasks, exceptions, and approvals. If you need a written assessment before choosing a project, the paid audit is a separate step. 2. **Build:** We connect the agreed tools and build the agent around your process. Your team reviews the working software and the decisions needed to complete it. 3. **Test:** We test normal requests, unusual cases, and attempts to bypass the rules. We check the answers, data access, actions, and points where a person must take over. 4. **Go live:** We monitor the agent and fix problems during the first 30 days. Your team receives the code, credentials, and operating instructions. Continued care is optional. We hold a 30-minute review call at the end of each build week. We review what is ready, what comes next, and what needs your decision. You can review workflow activity and test results, including failures that need attention. Questions go to the people building your agent through a shared channel. ## Technology and ownership - **n8n:** Connects the steps between your tools. It can run on your server; the model and connected services may still process the data each task needs. - **Claude or OpenAI:** We compare models on your task and choose the one that fits. A later model change needs testing too. - **WeWeb, Bubble, or Retool:** An interface for approvals, corrections, and status, using the platform that fits your team's needs. You receive the code, credentials, and documentation so your team or another developer can manage the system. Ongoing support from us is optional. The software and model services you use have their own running costs. ## FAQ **What does AI agent development cost?** A single process agent costs $3,000 to $5,000. A multi-system agent costs $5,000 to $10,000. An agent with an interface costs $12,000 to $30,000. We agree on the scope and fixed price before development starts. The $999 readiness audit is optional and is credited in full toward a build with us. **How long does it take to get an agent running?** Allow 2 to 4 weeks for a single process agent, 4 to 8 weeks for a multi-system agent, and 8 to 12 weeks for an agent with an interface. We agree on the project timeline with the scope. **What support is included after launch?** The build includes 30 days of support while we monitor the agent and fix problems. After that, optional care costs $750 to $2,500 per month. It covers monitoring, checks for changed behaviour, fixes, and quarterly security tests. Your team can also manage the system itself. **How does this compare with hiring an AI specialist?** We build a defined system and provide the code and instructions to run it. An employee can own a wider set of tasks over time. The right choice depends on how much ongoing work your company needs. **Where does our data go?** It depends on the setup. The software connecting your tools can run on your server. The AI model and connected services still receive the information needed for each task. We define which data the agent can access and test attempts to use it outside the agreed rules. **Can you build an agent for our process?** It may fit if the work repeats, the inputs vary, and the permitted actions can be defined. Start with a free call to discuss the process. If you need a written assessment of which opportunities are worth pursuing, choose the [AI readiness audit](/ai-audit/). Detailed business-case and delivery planning is available through [AI implementation consulting](/ai-consulting/). **Do you use subcontractors?** No. You work directly with the people who build your agent. **Who owns the agent?** You receive the code, credentials, and documentation. Your team or another developer can manage it. Support from us is optional; third-party software and model fees remain separate running costs. **Do you build customer chatbots as well as internal agents?** Yes. We build chatbots for defined tasks such as order status, booking, and support. We test their answers, access, and actions, including when a conversation must go to a person. The price and timeline depend on the scope shown above. **Can we do this ourselves with ChatGPT or Claude?** For occasional work that a person can review, those tools may be enough. A custom agent is useful when the task must connect to your systems and follow repeatable rules for access, actions, and approval. We can discuss that fit on the intro call. ## Book a call In a free 30-minute call, we discuss the work, your current tools, and whether an agent is a useful next step. - The task and where your team loses time - The systems and approvals the agent would need - The likely scope, cost range, and next step [Book a free intro call](/go/intro-call?cta_label=ai-agents-hero).