# AI development for business operations **Title:** AI Development for Business Operations | NocodeAssistant **URL:** https://www.nocodeassistant.agency/ We build AI systems around your company’s data, tools, and processes. We help you choose a project and put it into use. [Book a free intro call](/go/intro-call?cta_label=homepage-hero). [See how we plan and build](#ai-services). Rated 4.9/5 on G2 by 9+ clients. ## What changed for our clients ### Dinsko Customer support · Swedish footwear retailer **47%** — of tier-1 tickets resolved automatically. Measured after 90 days. Dinsko’s team checked orders and return policies one ticket at a time. Their return rules needed checks beyond a standard support tool. We built an agent around those rules. [Read the case study](/blog/ai-support-agent-ecommerce/). ### Emerald Wealth Partners Document research · Private family office **10 min** — committee research preparation, down from 2–3 days. Result reported by the client 60 days after launch. Emerald’s team searched filings and transcripts by hand before each committee meeting. Their first AI tool could not handle research across companies. We built search over 2,200 documents, with answers linked to source passages. [Read the case study](/blog/ai-search-tool-sec-filings/). ## From a business problem to a working system. ### Choose a useful AI project. We compare possible projects against the time, cost, and errors involved. Compare opportunities with a $999 audit, or plan one workflow with focused consulting. We agree on the consulting scope, timeline, and fixed fee before work starts. The build is separate. Not sure whether to start with an audit, consulting, or a build? Discuss your workflow on a free intro call. Your decision report or build plan: Expected value · Cost and data needs · Build-or-buy advice. Compare opportunities in an audit, or plan one selected workflow in consulting. [See what AI consulting includes](/ai-consulting/). [Compare opportunities with an AI readiness audit](/ai-audit/). [Read a complete sample audit](/resources/ai-audit-sample/). ### Build it with the same team. Work can include connected workflows, agents, and screens for approvals, corrections, and status. We quote the build after reviewing your workflow, tools, and data. Model, hosting, and other software fees are separate running costs. Already have a clear scope? We can discuss a build directly. From a request to a completed task: Business tools · AI workflow · Team workspace. At Dinsko, the agent checks the order and return policy, asks the customer to confirm, then submits a refund request. Staff handle refunds and failed or repeated refund requests. [See how AI automation connects your tools](/ai-automation-agency/). Connect a defined process across tools, using fixed rules and AI where needed. [See what an AI agent can do](/ai-agents/). Give an agent a defined task, data access, and actions your team can approve. Discuss the work you want to improve. We can help you choose a project or discuss a build you already have in mind. [Book a free intro call](/go/intro-call?cta_label=homepage-after-services). ## From process review to daily use. 1. **Review the work.** Map the process, inspect the available data, and choose what to improve. 2. **Agree the plan.** Set scope, tests, data access, and actions that need approval. 3. **Build and review.** Test the system with example requests and review the results with your team. 4. **Release and transfer.** Provide the accounts, documents, training, and support arrangements listed in your proposal. ## Agree how the AI will work before launch. ### Data access Agree which records and tools the system can use, and who can access its results. ### Tests and approvals Test example requests, missing information, and access limits. Agree which actions need a person’s approval. ### Failures and support Define how failed tasks reach your team, who responds, and what monitoring and fixes the support scope includes. ## One team for the plan, the AI, and the software. [Meet the team](/about-us/). [See how we plan and build your system](/process/). ### Scope and price, in writing. We agree the deliverables, price, and timeline before development. If the scope changes, we agree the added work and cost first. ### Know what transfers to you. Your proposal lists the accounts, data, source files, workflows, and documents you receive. Export options depend on the platform. We explain those limits before choosing it. ### Payments follow agreed stages. For software builds, 30% is due at the start, then 35% at each of two agreed delivery stages. ### Documents for the next person. We document the work during the build and provide the access your team needs. Your team or another developer can use those records to maintain the system. ## Internal tools and SaaS products. We also build operations dashboards, client portals, and software products. [Explore internal tools](/internal-tools/). [Explore SaaS and MVP development](/mvp-development-agency/). ## Before your first call. ### What if we do not know which AI project to choose? Bring examples of work that takes time, causes delays, or needs repeated checks. You do not need a project brief for the intro call. If you already have a clear scope, we can discuss a build directly. ### When is a simpler automation enough? Fixed rules suit predictable steps. AI can help when requests or document formats vary. We assess each step before recommending a build. ### Can you work with our current tools? We check the tools, data, and available connections before quoting. We agree which systems will connect, what access is needed, and what your team will review. ### What does a project cost? The readiness audit costs $999. We quote consulting and development separately after reviewing the workflow, systems, data, and required outputs. The proposal sets the scope, delivery timeline, and fixed fee before work starts. Model, hosting, and other software fees are separate running costs. Your proposal states the included support and any separate maintenance costs. ### What sets the delivery time? The connected tools, data readiness, approval steps, and screens determine the scope. We agree the timeline after reviewing these with your team. ### What happens when the system fails or cannot answer? We test missing information, access limits, and approval rules before launch. The project scope sets how failures reach your team and who responds. ### What do you need from our team? Start with the task you want to improve, the tools you use, and examples of the current work. During the project, we need someone who can explain the process, arrange access, and review the system with us. ### What happens after launch? We agree account access, documentation, training, and support in the project scope. The proposal states what is included and what ongoing maintenance or new work would cost separately. ## Find where AI can help your business. On a free 30-minute intro call with Himanshu, we discuss your business problem and whether an audit, a plan, or a build is the next step. [Book a free intro call](/go/intro-call?cta_label=homepage-final).