Agentic AI for business

AI Agent Development Company Custom Agentic AI for Support, Operations and Internal Workflows

We build AI agents that do work, not just answer questions: software that reads a request, plans the steps, acts in your CRM, helpdesk, or ERP, and asks a person before anything important changes. Fixed-scope projects are quoted after scoping, and you get a scoped written proposal within 48 hours.

Request Proposal Agent or chatbot?
  • Human approval built in
  • Runs on your data, your way
  • OpenAI, Claude, open-source
  • Proposal in 48 hours
How an AI agent completes a task A request comes in and the agent plans the work. The agent reads data from the CRM, the helpdesk and the ERP, then proposes an action. A person approves it at a human approval gate before anything changes, and the task is marked complete. readsreadsreads proposes action Request in Agent plans CRM Helpdesk ERP Human approval Task complete How an AI agent completes a task A request comes in and the agent plans the work. The agent reads data from the CRM, the helpdesk and the ERP, then proposes an action. A person approves it at a human approval gate before anything changes, and the task is marked complete. Request in Agent plans CRM Helpdesk ERP Human approval Task complete

AI agent development at StudioKrew, at a glance

An AI agent is software that uses a large language model to plan and complete a task inside your systems, not just to answer a question. Projects are quoted after scoping, dedicated AI engineers cost $18 to $55 per hour, and every inquiry gets a scoped written proposal within 48 hours.

48h

to a scoped written proposal after your inquiry

$18 to $55

per hour for dedicated AI engineers; dedicated teams from $15,000 per month

3

model families: OpenAI, Anthropic Claude, and open-source models such as Llama, Mistral, and Qwen

Self-hosted

option: agents can run on your own infrastructure, so your data stays under your control

OverviewWhat an AI Agent Development Company Does

An AI agent development company designs, builds, and runs software agents that complete tasks for your business inside the systems you already use. StudioKrew builds agents for customer support, operations, sales, and internal knowledge work, on OpenAI, Anthropic Claude, or open-source models. Fixed-scope agent projects are quoted after a short scoping phase, dedicated AI engineers cost $18 to $55 per hour, and you receive a scoped written proposal within 48 hours of your inquiry.

The difference between an agent and the chatbots most companies already have is action. A chatbot answers. An agent reads the ticket, checks the order in your ERP, drafts the refund, and waits for a person to approve it. That approval step is not an afterthought in our builds. It is designed in from the first day.

Our agentic AI development services cover the full path: scoping the workflow, choosing the model, connecting the tools, testing against real cases, and running the agent in production with monitoring and cost controls. They sit within our wider work as an AI development company. For teams that want to start small, we recommend one workflow, measured, before anything multi-agent.

What is an AI agent?

An AI agent is software that uses a large language model to plan and complete a task, not just to answer a question. Given a goal, such as resolving a support ticket, it works out the steps, calls the tools it needs (a CRM, a helpdesk, a database, an API), checks its own results, and hands off to a person when a decision needs human judgment. It runs inside your existing systems rather than replacing them.

CompareAI Agent, Chatbot, or Workflow Automation?

Three different tools solve three different problems. This is how we help clients choose, and why we often recommend the simpler option.

CriterionAI agentChatbotWorkflow automation
What it doesPlans and completes multi-step tasks across your systemsAnswers questions and guides conversationsRuns fixed steps when a trigger fires
Handles new situationsYes, within the limits you setOnly within its scripted or trained scopeNo, every step is predefined
Takes actions in other systemsYes, through tools and APIs, with approval gatesRarely; it usually hands off to a personYes, but only the exact actions configured
Best forSupport resolution, operations, research, lead qualificationFAQs, lead capture, first-line supportData syncs, notifications, approvals with fixed rules
Needs human oversightApproval steps for important actions, plus monitoringLight; a review of transcriptsLow once tested
Typical starting pointOne workflow with measurable time savedA website or in-app assistantA trigger with a clear rule

If your need is answering questions well, a chatbot is the better and cheaper fit. See our AI chatbot development services.

AgentsThe AI Agents We Build

Each of these starts as one workflow that costs your team time today. Where a related service has its own page, the link takes you there.

Customer Support Agents

Agents that read incoming tickets, pull the customer's history and order status, draft the reply or the refund, and resolve routine cases end to end. Complex or sensitive cases are escalated to your team with a summary attached.

Explore AI chatbot development

Operations Agents

Back-office agents that reconcile records between systems, chase missing documents, prepare reports, and flag exceptions for a person. They connect to ERP, finance, and project tools through APIs, with every write action gated.

Explore enterprise application development

Sales and Lead Qualification Agents

Agents that research inbound leads, score them against your criteria, draft personalized follow-ups for a rep to approve, and keep your CRM current without manual data entry.

Internal Knowledge Copilots

Assistants that answer staff questions from your own documents, policies, and past work, with citations. Built on retrieval, so answers stay grounded in what your company actually knows.

Explore RAG development

AEC and Revit Agents

Agents for architecture and engineering teams that run model checks, draft coordination reports, and answer questions about project standards, working alongside our Revit automation tools. Our first client agent runs inside Revit; see the proof section below.

Explore AI Revit automation

Multi-Agent Systems

For larger workflows, we design systems where specialized agents hand work to each other: one gathers information, one drafts, one checks, and a coordinator tracks the whole task. We use this only when a single agent cannot cover the workflow reliably, because every extra agent adds cost and complexity to monitor.

IntegrationsHow Agents Connect to Your Systems

An agent is only as useful as the tools it can reach. We connect agents to the systems your team already uses, with permissions set per tool.

How an AI agent connects to your systems The AI agent sits in the center and connects to your CRM, helpdesk, ERP, database, APIs, and tools exposed through MCP. Write actions in the CRM, helpdesk, and ERP wait for human approval before they run. AI agent CRM Helpdesk ERP Database APIs MCP Human approval How an AI agent connects to your systems The AI agent sits in the center and connects to your CRM, helpdesk, ERP, database, APIs, and tools exposed through MCP. Write actions in the CRM, helpdesk, and ERP wait for human approval before they run. AI agent CRM Helpdesk ERP Database APIs MCP Human approval
Where a system supports the Model Context Protocol (MCP), we connect through it, which keeps tool access consistent across OpenAI, Claude, and open-source models.

Human approval steps

  1. Read actions run freely; write actions on marked systems wait for a person.
  2. Approvals arrive where your team works: Slack, Teams, email, or your ticketing tool.
  3. Every action is logged with the agent's reasoning, so reviews take seconds.
  4. Permissions are set per tool, so an agent can read your CRM without being able to delete from it.

GuardrailsGuardrails, Evaluation, and Monitoring

An agent that can act needs limits that are designed, tested, and watched. These are standard in every build.

Before launch

  • Permissions by tool: what the agent can read, write, and never touch

  • Approval gates on every action that costs money, changes a record, or reaches a customer

  • An evaluation set of real cases, run on every change to the agent's instructions or model

  • Prompt-injection and data-leak testing against your own documents and tool outputs

In production

  • Logs of every step, tool call, and decision, with the reasoning kept for review

  • Cost controls: token budgets per task and per day, with alerts before limits

  • Quality tracking: resolution rate, escalation rate, and human-override rate

  • Model updates tested on the evaluation set before they reach users

ModelsModels and Platforms We Build On

We are not tied to one model vendor. The model is chosen for the task, the budget, and where your data is allowed to go.

PlatformWhen it fitsWhere it runs
OpenAI and Azure OpenAIStrong general reasoning and broad tool support; Azure for teams already on Microsoft contracts and complianceOpenAI's cloud, or your own Azure tenant
Anthropic ClaudeLong documents, careful instruction-following, and agent workflows with many tool callsAnthropic's cloud
Open-source: Llama, Mistral, QwenData that cannot leave your network, high-volume tasks where per-token cost matters, and fine-tuning on your own dataSelf-hosted on your servers or private cloud
MixedMost production agents: a capable model for planning, a smaller model for routine stepsAny combination of the above

Self-hosted means the model runs on infrastructure you control, so prompts and documents never leave it. For OpenAI-specific builds, see our OpenAI development services.

ProcessHow We Build an AI Agent

  1. Discovery workshop

    We map the workflow with the people who do it today, define what done looks like, and agree which actions need approval. The output is a one-page agent brief.

  2. Agent and tool design

    We choose the model, define the tools the agent can call and their permissions, and design the approval and escalation paths.

  3. Prototype on real data

    A working agent runs against anonymized real cases within the first weeks, so you see how it behaves before we build further.

  4. Evaluation

    We build a test set from real cases and measure accuracy, escalation rate, and cost per task, then fix what fails.

  5. Supervised pilot

    The agent runs on live work with a person approving every important action. We tune instructions and tools from what the pilot shows.

  6. Production and LLMOps

    Launch with monitoring, cost limits, and alerts. Under a support agreement, we handle model updates, new tools, and keeping the evaluation set current.

PricingAI Agent Development Pricing and Engagement Models

Two agents with the same name can differ by weeks of work once the integrations, the approval rules, and the test coverage are on the table. So we quote fixed-scope projects after scoping, and the written proposal reaches you within 48 hours of your inquiry.

ProofThe AI Work Behind Our Agents

Our first client agent runs in production inside Autodesk Revit. Alongside it, the conversational AI and LLM products below are the parts every agent is made of: grounded conversation, tool connections, and memory at scale.

Agentic AI Revit extension panel in Autodesk Revit showing model data extraction, a modeling automation awaiting review, and model checks

Agentic AI Revit Extension

What we built
An AI agent embedded inside Revit, with issue flagging, analytics, recommendations, and project-directory search.
What it does
It flags issues in the model, surfaces data analytics on demand, gives design recommendations, and runs semantic search across previous project directories to pull relevant references, so teams reuse proven past work instead of starting from scratch.
What it proves
An agent working inside a professional tool, taking actions on a model with a person in control.
Support workspace with a WhatsApp shopping assistant conversation, an order draft, and a knowledge assistant answer with cited sources

Conversational AI for client websites and apps

What we built
A WhatsApp commerce and support chatbot for product discovery, order updates, payment links, and return support, and a RAG knowledge assistant that answers internal teams from SOPs, policies, and tickets with citations and role-based access.
What it connects to
The WhatsApp Business API, and internal databases and APIs.
What it proves
Intent handling, grounded answers, and hand-off to people, the conversational layer every agent needs.
Zinzil app banner showing the app on two phones

Zinzil: AI companion app

What we built
A multilingual AI companion platform where users chat with characters who each have a distinct personality, home country, and native language, with persistent memory across sessions and moods that shift through the day.
Technology
LLM characters, a persistent memory architecture, 11+ native languages including Hindi, Hinglish, Punjabi, Bengali, Tamil, and Arabic, a mood and routine engine, and an Android app.
What it proves
Memory, multilingual handling, and LLM behavior at scale, the foundations of an agent that remembers context.

Why StudioKrewWhy Teams Choose StudioKrew for AI Agents

Illustration of a team working with AI models and data visuals

  • Approval-first design

    Every build starts with the question of what a person must sign off, not what the model can do.

  • Model-independent

    OpenAI, Claude, or open-source, chosen for your task and your data rules, not for a partnership.

  • Engineers who integrate

    12+ years building apps and software that connect to CRMs, ERPs, and APIs, which is most of the work in an agent. See our AI software development services.

  • Honest scoping

    If a chatbot or a plain automation solves it, we say so in the proposal.

  • Four offices, one team

    Chicago, Oakville, New Delhi, and Dubai, with overlap across US, UK, and Gulf working hours.

Who It Is ForWho AI Agent Development Is For

SaaS and product companies

Teams adding agent features to their own product, or making it usable by agents through tools and MCP.

Support-heavy businesses

Companies with high ticket volumes where routine cases can be resolved end to end with oversight.

Operations and finance teams

Teams reconciling records across systems and chasing documents by hand.

AEC firms

Design and engineering teams that want agents working alongside Revit and BIM automation.

FAQFrequently Asked Questions: AI Agent Development

Common questions from CTOs, product leads, and operations heads weighing an agent. Have a workflow in mind? Talk to our team.

An AI agent development company builds software agents that complete tasks for a business using large language models. The work covers scoping the workflow, choosing the model, connecting the agent to tools such as a CRM or helpdesk, setting permissions and approval steps, testing against real cases, and running the agent in production with monitoring.

A chatbot answers questions in a conversation. An AI agent takes a goal, plans the steps, and acts in other systems to complete it, with a person approving important actions. Many businesses need a chatbot first, and we say which you need in the proposal.

We quote fixed-scope agent projects after scoping, because cost depends on the number of tools, the approval rules, the model, and the testing needed. You receive a scoped written proposal within 48 hours of your inquiry. For ongoing work, dedicated AI engineers cost $18 to $55 per hour and a dedicated team costs $15,000 to $40,000 per month.

It depends on the number of systems the agent connects to, the approval rules, and how much testing the workflow needs. A prototype on real data usually comes within the first few weeks, followed by evaluation and a supervised pilot before production. The schedule is set out in the written proposal.

OpenAI and Azure OpenAI, Anthropic Claude, and open-source models such as Llama, Mistral, and Qwen. We choose the model for the task, the budget, and where your data is allowed to go, and many production agents use more than one.

Yes. Open-source models can be self-hosted on your own infrastructure or private cloud, so prompts and documents never leave your network. For cloud models, we use enterprise endpoints such as Azure OpenAI where data handling terms matter.

Permissions are set per tool, so the agent can read without being able to change or delete. Actions that cost money, change records, or reach customers wait for a person's approval. Every step is logged, and an evaluation set of real cases is run on every change to the agent before it reaches users.

Yes. Under an LLMOps support agreement we monitor quality and cost, update the agent when models change, add tools, and keep the evaluation set current. It is quoted after scoping.

Next StepTell Us the Workflow You Want an Agent to Take On

Describe the task, the systems involved, and who approves what today. We will send a scoped written proposal within 48 hours, and we will say plainly if a chatbot or a simple automation would serve you better.

Request Proposal

StudioKrew

Top game development company and mobile app development company leading the tech development and consultation services, revolutionizing the field since 2013. We offer a wide range of services, including game development service, mobile app development, AR/VR applications, REVIT automation plugin development, digital twins, development of custom cloud services, LiveOps, and Maintenance services in the USA, UAE, and UK, with headquarters in India.
Our diverse expertise includes native mobile app development, game development, 3D art design and animations, NFT, cloud computing, metaverse, licensed game logic, custom backend logic, REVIT plugins, AEC automation, healthcare automation, and cloud ERP solutions, and we are confident in our ability to bring ideas to life with precision and passion. From startups to Fortune 500 companies and creative individuals, we bring ideas to life with precision and passion.

Let's shape the future of digital experiences together!

Digital product agency expertise in Game, Apps, Analytics, and BIM Automation

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+91-882-661-7711

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