A chatbot answers questions. An agent gets things done. We build agents connected to your real systems and data.
Contact UsBelow is an overview of the key areas we cover when building AI agents for businesses, explained in more detail below.
Fashion E-commerce, Los Angeles, USA
Keyideas designed a custom Shopify store for us, integrating AI-powered product recommendations and a frictionless checkout experience. Their expertise in Liquid templating and UX optimization resulted in a 30% increase in conversions and enhanced customer retention.
Kids’ Clothing, Paris, France
We wanted a seamless mobile shopping experience for our growing e-commerce store. Keyideas implemented a mobile-first design, AMP pages, and AI-powered chatbots, driving mobile sales and improving customer engagement.
We measure every AI agent engagement against the standards set by the strongest production agent deployments across industries and regions.
Explore AI agent projects from businesses around the world, each reflecting strong system integration and measurable workflow results.
Keyideas has built websites, platforms, and software products across more than 20 industry verticals over 18 years. We bring direct project experience to each industry we serve, not a generalist template applied to every client brief. Select an industry below to see what we have built in your market.
AI agent development only works when grounded in real expertise across models, retrieval, and integration tools.
We Build On
We Migrate From
From beyond-chatbot reasoning to enterprise embedding, these fourteen capabilities cover AI agent development end to end.
A chatbot that answers questions one at a time, with no memory of the broader goal a user is actually trying to accomplish, stops well short of what businesses now need from AI. We build AI agents that understand goals, make decisions, use tools, and complete multi-step tasks, moving beyond simple question-and-answer chat interfaces to agents that actually perform business tasks rather than just describing how to do them.
Adding an AI chat interface on top of an unchanged workflow still requires a human to do everything the chat interface cannot, which barely qualifies as automation at all. We apply agentic AI to repetitive business workflows including customer support, sales qualification, research, document processing, and operations, automating the actual workflow end to end rather than simply layering a chat window over a process that still runs the same way underneath.
An AI agent that cannot see your CRM, ERP, or helpdesk data can only have generic conversations, since it has no access to the actual account, order, or ticket information a useful response usually depends on. We connect AI agents to CRM, ERP, ecommerce, helpdesk, databases, and APIs, giving agents access to the systems your business already uses rather than operating as an isolated tool disconnected from your real data.
A single agent trying to handle research, analysis, execution, and validation all at once tends to perform each task worse than a system of specialized agents each doing one thing well. We build coordinated multi-agent systems that divide complex processes among specialized agents handling research, analysis, execution, validation, or communication, coordinating handoffs between agents rather than forcing one general-purpose agent to do everything adequately instead of anything well.
A customer service AI that can only answer generic FAQ questions still routes every actual account issue back to a human agent, which limits the automation to the easiest, lowest-value tier of support requests. We build AI customer service agents that answer questions, retrieve account information, troubleshoot problems, create support requests, and escalate complex cases appropriately, handling real account-specific issues rather than only the questions a static FAQ page could already answer.
Sales reps spending hours manually qualifying leads and researching prospects before a single conversation happens are spending time on work an AI sales agent can handle faster, freeing reps to focus on the conversations that actually need a human. We build AI sales agents that qualify leads, research prospects, personalize outreach, and answer product questions, automating parts of the sales process while keeping human sales reps in control of the relationship and the close.
A shopper comparing products, checking order status, and asking questions about a purchase they already made currently has to navigate three different parts of your site, when an AI agent could handle all three in one conversation. We build AI ecommerce agents that assist with product discovery, recommendations, customer questions, order tracking, reordering, and product comparisons, guiding shoppers through their entire journey rather than limiting AI assistance to pre-purchase questions alone.
Employees spending hours pulling reports, retrieving documents, and manually analyzing data are doing work that internal AI agents can handle significantly faster, time that could otherwise go toward work that actually requires human judgment. We build internal operations agents supporting research, reporting, document retrieval, data analysis, workflow requests, and knowledge management, improving internal productivity through AI-powered workflows rather than leaving employees to do this manually indefinitely.
An AI agent relying only on its general training knowledge will confidently answer questions about your business with information that is generic, outdated, or simply wrong, since it was never actually trained on your company’s specific data. We build agents with retrieval-augmented generation that pull relevant information from your business documents, databases, and knowledge bases, grounding agent responses in your organization’s actual data rather than the model’s general, and sometimes incorrect, assumptions.
An AI agent limited to generating text can describe what should happen next, but a human still has to actually go do it, which caps the real time savings at whatever the writing itself took. We build tool-using AI agents that create records, update CRM data, check inventory, generate reports, and trigger workflows directly, letting agents take action rather than just producing a suggestion someone else has to execute manually.
Full autonomy sounds appealing until an agent takes an irreversible action on a business-critical decision that genuinely needed a human’s judgment first, at which point the cost of that one mistake outweighs months of saved time. We build human-in-the-loop AI architectures that let humans review, approve, modify, or override AI-generated actions, applying controlled automation to business-critical workflows rather than granting full autonomy to every decision an agent is technically capable of making.
An AI agent with unrestricted access to business systems and no audit trail is a security risk that grows with every new system the agent gets connected to, since a single compromised agent could touch everything it has access to. We build AI agents with permissions, authentication, data access controls, audit trails, human approval steps, and monitoring, securing and governing agent deployments appropriately for the actual level of access and action an agent has been granted.
Deploying an AI agent and never monitoring what it actually does, which tools it uses, or how often workflows fail means problems accumulate silently until a customer or employee finally reports something going wrong. We build agent observability and performance monitoring showing what agents are doing, which tools they are using, workflow failure rates, and where human intervention is required, giving your team the visibility needed to continuously improve agents rather than operating them blind.
A standalone AI agent tool sitting outside your actual business applications requires users to switch context between the agent and the software where the real work happens, undermining the convenience agents are supposed to provide. We embed AI agents directly into CRM systems, ecommerce platforms, customer portals, enterprise applications, and SaaS products, adding agentic capabilities to the existing software your team already uses rather than introducing yet another standalone tool to manage separately.
We use industry-leading tools to ensure smooth communication, efficient development and transparent project management
Plan tasks, timelines, and project resources efficiently.
Build scalable solutions with clean and secure code.
Monitor performance, fix issues, and manage updates.
Create wireframes, UI designs, and interactive prototypes.
Conduct meetings and discussions to stay aligned.
Questions CTOs and product leaders most commonly ask before choosing Keyideas for an AI agent development project of any scope.
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