AI Agent Development Services
AI agents are software that reads data, applies your business rules, calls APIs and completes multi-step tasks, with human review where needed. SumatoSoft builds custom AI agents and integrates them into ERP, CRM and internal systems, starting with a 4-week proof of concept and moving to production through our Agentic Development Lifecycle (ADLC).
What AI agent development services does SumatoSoft offer?
We design custom AI agents, test them in a 4-week proof of concept, and integrate them into the systems you already run.
Custom AI agent development
We design AI agents around your business, from ones that automate repetitive tasks to virtual assistants that give customers a personalized experience. They draw on natural language processing (NLP), computer vision, and machine learning (ML), and they deliver measurable results across industries such as healthcare, finance, retail, and logistics.
Proof-of-Concept (PoC) & MVP development
Not ready to commit to a full-scale build? A 4-week proof of concept tests your agent on your own data, and an MVP puts it in front of real users. Both show the idea works before you commit a full budget, and give you something concrete to show stakeholders or investors.
Enterprise software integration
We integrate AI agents into your existing systems with minimal downtime or disruption. You might add predictive analytics to your supply-chain tools or a chatbot to your customer-service platform. Either way, we keep the transition smooth, so you see efficiency gains from day one.
What types of AI agents does SumatoSoft build?
We build single-task agents, tool-using agents that call your APIs, and multi-agent systems that split one workflow between several agents.
- Single-task agents handle one job end to end, such as classifying incoming documents or drafting a reply for review. They are the fastest to build and the easiest to measure.
- Tool-using agents plan a task, retrieve company knowledge and call your systems through APIs. They support work such as quote generation, vendor comparison, order processing and report drafting, within rules you define.
- Multi-agent systems split a workflow into bounded roles: one agent retrieves, one reasons, one validates and one acts in your ERP, CRM or internal tools. Each step runs within defined constraints, so autonomy stays deliberate.
Agents that answer from your documents run on retrieval-augmented generation; our RAG development services page covers that layer. Our contract review multi-agent platform for a law firm extracts, scores and redlines clauses, with attorney review at every step.
How do you keep AI agents safe?
We keep AI agents safe by limiting what they can touch, putting people in front of high-risk actions, and logging every step.
- Controlled tool access. An agent gets only the tools and permissions its task needs, with role-based access at the data layer.
- Approval gates. Before an agent writes data back to a system or takes a high-risk action, a person approves it. Hard stop conditions halt the workflow when confidence drops.
- Guardrails on every call. Middleware checks user input, retrieved context, model output and tool calls for prompt injection, personal data and invalid output.
- Audit logs. Inputs, retrieval paths, outputs and decisions are logged, so you can trace why the agent acted as it did.
- Budget limits. Token use is capped and monitored, so an agent never runs as an open meter.
Human review is the norm in production: in SumatoSoft’s 2026 AI readiness research, 96% of the 72 executives surveyed keep a person in the loop for customer-facing or compliance-sensitive AI output.
How do you test AI agents?
We test AI agents against evaluation sets, try to break them on purpose, and keep scoring them after launch.
Evaluation sets
Before go-live, we score the agent on cases built from your real workflow: task accuracy, faithfulness to the source and correct refusals. Frameworks such as RAGAS and LangSmith keep the scoring quantitative.
Output validation
Structured outputs pass schema checks (for example, Pydantic) before they reach another system.
Red-teaming
We simulate prompt injection, data extraction and guardrail bypass attempts. An agent that can be pushed into unsafe behavior does not pass review.
Cost simulation
We run the workflow at expected volume to confirm the cost per task.
Monitoring after launch
Behavior is re-scored on a schedule to catch drift, and token use is tracked against budget.
What can AI agents do?
AI agents take multi-step work off your team: they read documents and data, apply your rules, act in your systems and hand off to a person when a decision needs one.
Continuous learning
Our AI agents learn and adapt over time by analyzing real-world data and user interactions. That keeps your systems relevant and effective as your business grows and the market shifts.
Predictive analytics
Our agents use machine learning models to forecast trends, spot opportunities, and flag risks before they arise. From demand forecasting to fraud detection, they give you insights you can act on, shaped around your industry.
Security you can trust
We put data security first at every stage of development and deployment. SumatoSoft holds ISO/IEC 27001:2022 and ISO 9001:2015 certifications, follows strict security protocols and complies with regulations such as GDPR to protect your sensitive information.
How does SumatoSoft build AI agents?
We build AI agents in six steps, run through our Agentic Development Lifecycle (ADLC).
- Perform AI readiness assessment first.
- Conduct a collaborative kickoff meeting to align on goals, expectations, and communication processes.
- Define project milestones and create a detailed roadmap for development.
- Collect, clean, and preprocess data to ensure it meets the highest quality standards.
- Establish data governance policies for secure and efficient data management.
- Build a 4-week AI proof of concept or an MVP to validate the idea quickly.
- Test prototypes in real-world scenarios to gather insights for refinement.
- Choose the models and the orchestration framework, such as LangChain, AutoGen or CrewAI, for the workflow.
- Add RAG development or LLM fine-tuning where the use case needs them
- Train and evaluate iteratively against accuracy, speed and cost per task.
- Integrate AI agents into your existing systems using APIs or custom-built interfaces.
- AI integration with ERP/CRM/IoT.
- Run evaluation sets, red-team tests and performance checks before go-live.
- Deploy the solution in live environments with full monitoring capabilities.
- Offer ongoing support to adapt the AI system as your business evolves.
Since 2020, AI has gone from an emerging trend into a driving force. What used to be experimental is now essential, reshaping how businesses operate, compete, and grow. At SumatoSoft we’ve leaned into that shift and grown our expertise to help companies put AI to full use.
What AI agents has SumatoSoft built?
We brought in SumatoSoft to help us reduce unexpected turbine failures, and the result met our expectations. From the early stages, their team demonstrated a strong understanding of our business domain and the constraints of working with existing SCADA systems. They took a proactive approach, carefully analyzing our requirements and proposing a solution that enhanced our infrastructure without disrupting it. Communication was clear and structured, and the project was managed professionally, with all milestones delivered on time.
We had already invested in AI, but the output was unclear. There were multiple initiatives across the company, each showing some promise, but no clear way to evaluate them or connect them to business outcomes.
They are very sharp and have a high-quality team. I expect quality from people, and they have the kind of team I can work with. They were upfront about everything that needed to be done.
I appreciated that the cost of the project turned out to be smaller than what we expected because they made some very good suggestions. They are very pleasant to work with.
SumatoSoft is the firm to work with if you want to keep up to high standards. The professional workflows they stick to result in exceptional quality.
Important, they help you think with the business logic of your application and they don’t blindly follow what you are saying. Which is super important. Overall, great skills, good communication, and happy with the results so far.
SumatoSoft succeeded in building a more manageable solution that is much easier to maintain. Their project management reflects the excellence of a larger company. Their team delivers high-quality results, attentive service, and reasonable pricing.
Thanks to SumatoSoft’s can-do attitude, amazing work ethic, and willingness to tackle clients’ problems as their own, they’ve become an integral part of our team. We’ve been truly impressed with their professionalism and performance and continue to work with the team on developing new applications.
We are completely satisfied with the results of our cooperation and will be happy to recommend SumatoSoft as a reliable and competent partner for development of web-based solutions
What AI tech stack does SumatoSoft build agents with?
Here are some of the tools we build agents with; the final choice depends on your business goals. For a worked example, read our agentic RAG implementation guide.
Foundation models and access path
- Azure OpenAI
- Amazon Bedrock
- Anthropic Claude
- Meta Llama
- and more
Orchestration and agent frameworks
- LangChain
- AutoGen
- LlamaIndex
- CrewAI
- and more
Vector databases and retrieval
- Pinecone
- Weaviate
- pgvector
- Qdrant
- and more
Evaluation, guardrails, and observability
- Response evaluation frameworks
- Logging and traceability layers
- Access control and policy enforcement
- Usage monitoring and budget tracking
AI Agents built to bring your unique benefits
Automation
Automation saves time and cuts operating costs by handling repetitive tasks.
Decision-making
Better decision-making comes from insights you can act on.
Personalization
Personalization gives customers an experience that builds engagement and loyalty.
ROI
You reach a faster return on investment with reliable, enterprise-grade AI.
Customer satisfaction
Customer satisfaction improves through more personal interactions.
Competitive advantage
You also gain a competitive edge from technology built around your sector.
Why choose SumatoSoft for AI agent development?
Current ML, NLP and LLM tooling
We work with current AI tools, including machine-learning frameworks, natural-language models, and generative AI, so your business keeps pace as the field moves quickly.
Proven track record
We’ve completed more than 350 projects across over 20 industries, including healthcare, retail, finance, logistics, and manufacturing, so we bring real domain knowledge to every engagement. We design solutions for where your business is going, not only where it is today.
Custom solutions
No two businesses are alike, and neither are our solutions. We take the time to understand your specific challenges and goals before we design AI agents that fit your workflows.
Client-centric philosophy
Our team takes the time to understand your challenges and goals, then delivers solutions that produce measurable results and stay within budget.
Trusted by global brands
Leading organizations such as Toyota rely on SumatoSoft for solutions that produce measurable results and hold to a high standard of quality.
ISO-certified security
SumatoSoft holds ISO/IEC 27001:2022 and ISO 9001:2015 certifications. We follow rigorous security protocols at every stage, from data collection to deployment, and we comply with GDPR and other global regulations.
Awards & Recognitions
AI agent development FAQ
What are AI agents, and how can they help my business?
AI agents are software systems that carry out specific tasks on their own, such as automating a workflow or handling a customer conversation, using machine learning (ML) and natural language processing (NLP). Putting them to work in your operations cuts the cost of manual tasks, improves efficiency, and lets you offer a more personalized experience.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in a conversation. An AI agent completes work: it breaks a task into steps, reads the data it needs, calls your systems through APIs and checks the result. It hands off to a person when a decision needs one. Many agents have a chat window, but the conversation is only the front end.
How long does it take to develop an AI agent?
The proof of concept takes four weeks. If it shows the workflow works, a production build follows and usually takes three to nine months, depending on how many systems the agent connects to and how ready your data is. We work in an agile way, which keeps delivery on time without losing flexibility.
Can AI agents be integrated into my existing systems?
Yes. We specialize in integrating AI agents into existing IT infrastructure, including your CRM, ERP, and custom software platforms. We handle compatibility and keep disruption to a minimum throughout the process.
How do you stop an AI agent from taking the wrong action?
An agent gets only the tools and permissions its task needs. High-risk actions wait for a person to approve them, and hard stop conditions halt the workflow when the agent’s confidence drops. Every step is logged, so you can trace why the agent acted as it did.
Let’s start
If you have any questions, email us info@sumatosoft.com
