EntityQ designs, builds, and deploys custom AI agents, AI-powered applications, and workflow automation that remove manual work, connect your tools, and help your team scale.
We start with the work that slows your team down, then build the agent or application that fixes it — with the guardrails, integrations, and human checkpoints your business needs.
AI agents for business
We build AI agents that take action inside your systems, not just chat about them. Each agent is scoped to a real workflow, connected to your tools, and designed with the approvals your business needs.
Qualify inbound leads, enrich them with company data, draft the first reply, and keep your CRM current.
Resolve common requests end to end — look up an order, process a return, update an address — and hand complex issues to a human with context.
Coordinate invoices, vendor onboarding, document collection, and reporting across the tools your team already uses.
Give your team an assistant that searches your documents, wikis, and databases, compares what it finds, and cites the source.
Every agent ships with a human in the loop.
Permissions, logging, and approval steps are part of the build — not an afterthought.
Everything You Need to Build and Grow Your Business
We kick things off with a discovery session to deeply understand your goals, users, and unique challenges. We align with your vision and define success together.
Dr. Femi Salami
Managing Partner, MinePro and Energy
“I've watched EntityQ grow from the ground up, and their commitment to excellence is unmatched. They've handled multiple projects for me across web development and digital strategy — each time delivering work that exceeds expectations. Their technical depth and professionalism make them a team I trust without hesitation.”
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Kelly A. Norton
Strategic EA & Chief of Staff Partner
“EntityQ transformed the way I present my services online. They built a site that not only looks exceptional but also works seamlessly with the AI-driven workflows I rely on daily. Their attention to detail and ability to translate complex requirements into elegant solutions is remarkable.”
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Younes Najif
Founder, Shuttrd
“EntityQ built our entire platform from the ground up — web and mobile. They took a complex marketplace concept and turned it into a polished, scalable product that our users love. From the initial architecture to the App Store launch, they were instrumental at every stage.”
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William Murch
Founding GTM, Borderless
“EntityQ brought a level of strategic thinking to our project that went far beyond just writing code. They understood our go-to-market challenges and built solutions that directly contributed to our growth. Responsive, sharp, and genuinely invested in the outcome.”
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Dr. Shan Siddiqi
Neuropsychiatrist, Harvard Medical School
“What impressed me most about EntityQ was how quickly they grasped the nuances of our domain. They delivered a clean, modern digital presence that communicates credibility and professionalism — exactly what we needed. A genuinely talented team that listens and delivers.”
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Common questions
An AI agent is software that uses a large language model to pursue a goal and take actions in your systems. It can read a request, choose a tool, complete a multi-step task, check the result, and escalate to a person when needed.
A chatbot is built to talk. An AI agent is built to do. Agents have tools, planning, and verification, so they can complete tasks such as updating a CRM, processing a return, or preparing a document — not just answer questions.
Common starting points are lead qualification, support triage, invoice processing, meeting preparation, internal knowledge search, and onboarding. The best first workflow is high volume, repetitive, connected to systems with APIs, and reversible if something goes wrong.
Usually not. Most agents work with your existing CRM, help desk, email, calendar, and databases through APIs. The agent becomes a layer that coordinates work across the tools you already use.
A focused internal agent can often be built and tested in a few weeks. Customer-facing agents that touch multiple systems, require compliance review, or need extensive testing take longer. Scope and integrations matter more than the model choice.
Cost depends on the number of integrations, data quality, risk controls, and ongoing ownership. Model usage is usually a small part of the total. Most businesses get the best return by starting with one narrow workflow and expanding after it proves itself.
Bring us the process, the tools, and the outcome you want. We will tell you whether an AI agent, a standard automation, or a simpler fix is the right first move.
