AI Agent Development Company

Automating tasks saves time. Automating processes redefines how work gets done. Our AI agent development services deliver scalable solutions that bring the full promise of business-level automation to life without security trade-offs.

Our custom agentic AI solutions have already made a difference for our clients

Tapping into stacks of data, contextualizing yourself to orchestrate and run complex business processes, and choosing task-appropriate tools is a lot of work. Work that AI agents can fully own, bringing you multiple benefits*.

Operational efficiency
  • 60% savings in HR service delivery costs for a logistics firm
  • 40% reduction in supply delays for a global manufacturing firm
Productivity and speed
  • 60% productivity gain in research for a market research and intelligence firm
  • 95% shorter review cycles for brand standards for a hospitality company
Customer impact
  • 40% rise in customer engagement for a recreational vehicles retailer
  • 15% CSAT uplift via multi-agent support ticket triage for an online store
Better decision making
  • 50% faster time to actionable clinical insights for a global healthcare company
  • 30% decrease in credit-risk memo drafting for a bank

*Based on our clients’ results

Why *instinctools
Increase speed to market

01

Reduce development cost

02

Assure information security

03

Get high-quality software

04

Scale team up and down

05

Wraparound AI agent development services: capitalize on agentic capabilities without second-guessing

Your mature adoption of agentic automation starts with our consultants exploring your business needs and constraints. Choose *instinctools as your AI agent development company if you want agents to deliver tangible impact, not just be another futile tool in your software armory.  

A woman with glasses holds a tablet and looks thoughtfully at floating digital code and data on transparent screens, suggesting she is working with advanced technology or programming in a modern, high-tech environment.

Agentic AI consulting

The consulting phase lies at the heart of any successful AI project. Guided by three essential vectors of Data, Process, and Information, our experts craft a tailored strategy for implementing Agentic AI to ensure maximum ROI for your business.

Use cases assessment and prioritization

Picking AI use cases at random is the fastest way to burn your budget without a payoff. Our AI agents development services focus first on assessing your current operations to make the right call from the get-go. We pinpoint tasks and workflows ripe for agentic automation and put use cases with the most immediate and measurable impact at the top of the priority list.

All-encompassing audit of your pilot AI agents

The great gen AI paradox lies in having high expectations of the technology but settling for too little. We know how to get your underdelivering pilot initiatives back on the right track. 

Instinctools’ AI engineers evaluate your agent’s architecture, memory, and accuracy by reviewing code, auditing reasoning steps, and testing outputs against expected results. Based on the findings, we outline a strategy to address issues through code fixes, architectural updates, model retraining, reasoning refinement, or prompt engineering.

Developing custom AI agents

A custom approach is the answer if you want all the agent’s components, from perception and memory to reasoning, planning, and tool-calling, to fit your processes like a glove. Our AI agents development team crafts solutions on top of:

  • Open-source frameworks, such as CrewAI, LangChain and its extensions, etc., and software development kits for building AI agents, such as Microsoft AutoGen and Semantic Kernel, ibm-watsonx-ai Python SDK.
  • Proprietary platforms for configuring AI agents in a code-first environment, such as Azure AI Foundry and Amazon Q Developer.

Optimizing your existing AI agent

Even if your agentic AI is up and running, there might be early warning signs of problems that you usually go unnoticed. As an experienced agentic AI development company, we know exactly where these weak spots hide and act on them promptly:

  • Optimize the AI model’s overall performance with prompt engineering
  • Lower the agent’s latency and resource consumption by introducing parallel processing, switching to a smaller model, etc.
  • Minimize the possibility of hallucinations by replacing static fine-tuning with retrieval-augmented generation (RAG)
  • Speed up response times by perfecting caching mechanisms to prevent agents from processing similar queries from scratch every single time
  • Enhance workflow coordination between AI agents within a multi-agent system by introducing self-tuning mechanisms, such as adjusting routing weights and assignments based on real-world performance

AI agent integration

Depending on the project budget and your current infrastructure, its flexibility, maintainability, and evolution plans, our developers integrate the agent via custom scripts or a combination of APIs and webhooks.

We provide two deployment‐architecture options:

  • Installing the AI agent on a standalone virtual server and connecting it to particular software within your IT setup, be it a website, CRM, ERP, or any legacy system.
  • Implementing the AI agent as a plugin or a dedicated microservice for unlimited customization, fast and seamless interaction with other tools, and long-term scalability.

Ongoing maintenance and enhancement

The vector of our software upkeep efforts depends on how your agent is built:

  • Optimize the underlying language models to minimize the probability of hallucination in the agents that rely only on static datasets 
  • Run prompt behavior checks and refine prompt templates and retrieval chains of the AI agents with RAG at their core

Featured success stories

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Your
AI agent success story
starts here

We build agents with many levels of impact 

Within our AI agents development services, we build both general-purpose and domain-specific solutions tailored to your needs.

  • Task-level agents handle repeatable tasks within your workflows, such as monitoring stock levels and creating replenishment requests as part of inventory management.
  • Agentic workflow automation platforms orchestrate and execute multistep workflows that require basic judgment and coordination across processes within defined boundaries, such as employee onboarding.
  • Autonomous AI virtual workers operate as full-fledged employees capable of independent decision-making and completely taking over complex workflows.
Modern office with glass walls at night; several people work at desks with computers. In the foreground, two colleagues collaborate at a desk, one sitting, one standing and pointing at papers. Other workers are focused on their screens in the background.

We make AI-powered digital agents your right-hand companions for numerous function-specific tasks

While company-wide, general-purpose agentic solutions can scratch the value surface, the real payoff comes from AI agents tuned for specific workflows. A non-exhaustive list of the highest-value applications we’ve delivered includes: 

Cybersecurity

Let AI agents simulate sophisticated attacks from the MITRE playbook, from phishing campaigns to DDoS and supply chain attacks, assessing your system’s resilience and revealing its vulnerabilities. Agents can also take over Tier 1 Security Operations Center (SOC) tasks, managing alert triage, initial incident response, escalations, and incident report generation with speed and accuracy.

Regulatory compliance

Agentic AI serves as an in-house hyper-personalized compliance officer. It continuously reviews your processes and corporate documentation against endlessly changing regulations, keeping you audit-ready without manual overhead.

R&D

With AI agents summarizing trends, parsing through the initial data, proposing areas to explore, and running experiments in the virtual world, you can speed up innovation severalfold.

Procurement

Entrust agents with the evaluation of potential suppliers based on their contractual compliance, the auto-generation of RFPs, and the creation, approval, and processing of purchase orders (POs).

Sales & marketing

Automate lead qualification, scoring, and nurturing with agentic power. Beyond that, use agents to remove the need for constant manual orchestration of omnichannel campaigns and adjusting their messaging and budgets in real-time.

Human resources

AI agents speed up your talent acquisition flow by filtering through large applicant pools, scheduling interviews, and assisting in candidate assessment. Newcomers’ onboarding and training also go faster with automated document verification and personalized training curriculum.

Supply chain

Add an AI-powered orchestration layer across sourcing, warehousing, and distribution to keep your supply chain running smoothly with minimal human oversight.

Customer support

Use AI virtual workers to resolve complex customer inquiries while delivering a hyper-personalized support experience.

Equipment maintenance

Besides monitoring equipment and forecasting failures, AI agents schedule repairs proactively to prevent costly downtime.

Certified to the highest ISO standards

Unlocking the next productivity frontier is just a click away

Your agentic AI solution, sized right

We match the size and architecture of agentic solutions to the scale of work you intend to hand over to artificial intelligence.

  • A single AI agent with tools for reasoning, learning, and reflection is suited for simple, linear tasks. 
A blue circle with a robot icon connects via lines to three circles below labeled Tool 1 (purple), Tool 2 (red), and Tool 3 (green), illustrating a central robot controlling three tools.
  • A multi-agent system (MAS) with several agents, communicating and sharing tasks, each having its own pool of tools, is designed to handle operations with complex decision trees. 
A flowchart shows a red Manager agent box at the top, leading to three colored boxes: Analyst agent (yellow), Checker agent (green), and Planner agent (purple), each connecting to various blue circles labeled Tool 1–Tool 9 beneath them.
Flowchart with a red “Manager agent” box at the top branching to three boxes: yellow “Analyst agent,” green “Checker agent,” and purple “Planner agent.” Each connects to two or three blue “Tool” circles labeled Tool 1 to Tool 9.
What our clients say
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Bonnet
Patrick Reich
Co-Founder & CEO

The expectations for the quality of the initial product were very high. I think *instinctools did a great job ensuring those expectations are met. We met the developers we were going to be working with and it quickly became apparent that they are very qualified and were able to deliver the vision that we had from our side for the product. They clearly told us what they were going to do, and if there were questions or problems along the way, they clarified them really quickly thanks to transparent communication.

CANet
Dimitri Popolov
Research Data and Systems Manager

We had a tight delivery deadline and *instinctools has been able to find another developer and assign him to our project from one day to another. And we’ve been able to successfully deliver this project. When the partner is good, things are just getting done. And that was the case with *instinctools.

Helvar
Matti Vesterinen
Solution Development Manager

The quality has been good. It’s been on the expected level: things come on time, we have a good visibility on the things that *instinctools developers are doing and performing for us, communication is good. Wherever we see that we need some more exra resources, we have found *instinctools to be a good partner in helping us out on those areas.

SpecTec
Tim Rosenberger
Director, Global R&D

I’ve been impressed by the available skillset, the flexibility to ramp up resources quickly, and the scalability to extend development teams on short notice. I look forward to continue collaboration with *instinctools and their contribution to our projects.

Lition
Richard Lohwasser
Co-Founder & CEO

People at *instinctools are quite tech heads, which I like. They have used very advanced libraries, advanced techniques, advanced coding paradigms. So the advantage is that we get reusable code, that we get well-testable code, we get well-maintained code.

IPwe
Dr. Jonas Block
Product Owner

The *instinctools team exhibits the flexibility and professionality required for young companies. You can rely on their tested structures and processes that integrate nicely with your internal workflows. Being able to grow your team quickly with experienced professionals that start delivering value immediately and without a long interview process is a huge help. And personally, you will be working with a team of kind and interesting people.

SpexAI
Nadine Walther
Co-Founder & CEO

The team is dependable when it comes to managing time and finances, consistently staying within the designated budget. We’re pleased with *instinctools. Their business analysts are exceptional. They serve as the spokespeople between technology and business, representing both sides effectively.

Deif
Jeanine Shepstone
Senior Technical Writer

Instinctools is good at understanding the technical issues – once an issue is outlined, they do not need repeated explanation. They also do not simply accept a proposed solution, but they think about it and propose a better solution. I was really impressed by the custom interface they built for us – we outlined the requirements, and they implemented them in a user-friendly way that makes the interface a pleasure to use.

Sebastian Belle
VP of Engineering

Instinctools does deliver on time and budget. The company proactively asks how they can support our efforts and provide ideas how to help us with very good candidates with expertise that either we requested or that instinctools identified to be missing.

Alisa Delikatna
COO

The team demonstrated effective project management, timely delivery, and responsiveness to our needs. They established open communication to facilitate ongoing dialogue and held regular sprint meetings to keep stakeholders informed and engaged throughout the development process.

The future is agentic

Chad West
Chad West

*instinctools USA
Managing Director, 15
years in IT consulting,
AI Product Owner

Would you be open to a tailor-made AI Adoption workshop?

Two days with our experts to find personalized solutions for benefiting from AI.

Enterprise-ready AI agents: responsible and explainable AI by design

At *instinctools, we don’t tolerate jerry-built software. Committed to delivering reliable ML solutions at first try, we implement an AI agent governance framework that is regularly reviewed and updated in lockstep with AI technologies themselves.

  • Our dedicated team adheres to the HELM framework and prioritizes the foundational models with the highest scores on the transparency index. We also put a premium on the model and decision lineage to have a detailed audit trail of the model’s decision-making process.
  • Instinctools’ ML engineers draw on MLOps practices as part of our AI agent development services, including building robust data pipelines with data standardization and reuse mechanisms in place, and optimizing your ML development environment to allocate resources efficiently. 
  • We use only publicly available information for model training to get data privacy challenges off the agenda. For sensitive data, the AI agent development team trains a model on your hardware to prevent data leakage.
  • Our AI agent development company walks the talk with a solid information security framework and ISO 9001:2015 and ISO 27001:2022 certificates. Data encryption, authentication, access control, and top-notch API security are the baselines we follow. 
A hand points at a digital touchscreen displaying a glowing hexagonal icon labeled AI. The interface features futuristic blue and orange graphics, charts, and circuit-like patterns, suggesting advanced technology and artificial intelligence concepts.

With *instinctools, AI is a white box

Under the hood of our AI agents

To the user, it’s just milliseconds between an input query and a relevant response. But behind the scenes, there’s a complex, well-honed workflow at play. Instinctools’ deep expertise in AI agent development services is the hidden engine driving seamless human-machine interactions. 
A flowchart showing stages in ticket processing: support channels receive a ticket, which goes through ingestion and pre-processing, categorization, prioritization, routing, response drafting, data storage, policy compliance checking, and ends with escalation. Agents labeled as LLM/SLM perform tasks.
A flowchart shows a ticketing process: New tickets reach support channels, then go through ingestion and pre-processing (with LLM/SLM agent), categorization, prioritization, routing, team queues, response drafting, policy compliance checking, and possible escalation.
A flowchart shows LLM/SLM (AI) agents supporting team members at various steps, including suggestion, categorization, routing, response drafting, and compliance checking. The process flows left to right, ending with escalation to a human supervisor if needed.
Tech stack and ample experience
Languages
Gen AI platforms
Open AI
Llama
Claude
Gemini
Phi
Frameworks
LangChain
llamaindex
PyTorch
Kedro
TensorFlow
Keras
Debugging & Tracing
Langsmith
Langfuse
Vector Databases
PostgreSQL
Chroma
Milvus
Drant
Pinecone
DBMS
MySQL
mongoDB
CouchDB
Cassandra
Microsoft SQL Server
Hadoop
Data Visualization
Power BI
Qlik
Tableau

FAQ

How can AI agents benefit my business?

AI agents can benefit your business on two levels: accelerating company-wide routine tasks, such as content summarization, security alert triage, employee onboarding, etc. and speeding up task completion within specific business functions and processes, such as procurement, R&D, regulatory compliance, cybersecurity, sales, marketing, etc. In both scenarios, human oversight is minimal.

What types of AI agents do you develop?

When it comes to impact, we build everything from task-level and workflow-level agents to fully autonomous AI virtual workers capable of managing complex, multistep workflows. Speaking of agents’ size and architecture, we develop both single agents and robust multi-agent systems tailored to your needs.

How much does it cost to develop an AI agent?

The cost of AI agent development depends on the complexity and the level of autonomy you expect from the agent. The expenditure for a single, task-level AI agent starts at $10k. Workflow-level agentic automation requires $30k – $80k. Multi-agent systems with 2–4 agents at their core range from $80k to $200k. 

 

Anna Vasilevskaya
Anna Vasilevskaya Account Executive

Get in touch

Drop us a line about your project at contact@instinctools.com or via the contact form below, and we will contact you soon.