AI Agent Development Services

Automate complex manual workflows while reducing costly payroll with software solutions and not million-dollar salaries.

35%

Customer Case Deflection

50%

Less Case Handling Time

74%

ROI Within One Year

Custom AI Agent Solutions

The status quo of manual processes is costly data entry and extreme employee burnout on repetitive tasks. Public tools hallucinate answers and expose your corporate data to severe security risks. Tekscrum serves as your secure custom development partner to build private autonomous systems that solve these exact pain points.

Workflow Automation Agents

Eliminate manual data entry and reclaim an average of 4 hours per employee each week

Customer Support Oracles

Deflect 35 percent of incoming support tickets autonomously

Internal Knowledge Retrieval

Utilize GraphRAG to improve multi-hop reasoning accuracy from 16.7 percent to 56.2 percent

Connect your autonomous AI solutions directly to Salesforce or ERPs to execute multi step tasks

Enforce strict access controls so users only see the corporate data they’re entitled to view

Our Performance

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Offices Worldwide

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Happy Clients

HOW WE WORK

Our AI Agent Development Process

STEP 01

Scope and Data Audit

We analyze your manual workflows and ensure your private data is indexed for training the model

STEP 02

Model Architecture

We determine the foundational model and design the vector database to represent your operational logic

STEP 03

Training and Guardrails

We apply RAG protocols to prevent hallucinations and limit the scope of what the model can execute.

The Technology Stack Behind Our AI Agents

Foundational models: OpenAI GPT-4, Anthropic Claude 3, secure open-source Llama Orchestration frameworks: LangChain, LlamaIndex for advanced agentic workflows Vector databases: Pinecone, Weaviate for high performance memory storage Infrastructure: AWS, Azure clouds for enterprise grade security isolation

Why Choose Tekscrum As Your AI Agent Development Company

No Data Leakage

We utilize closed loop systems where your data never trains public models. IT leaders cite privacy as their number one concern which is why we design systems that eliminate data leakage at the architecture level.

No Hallucinations With RAG

Language models have inherent randomness that causes them to make up information. We implement Retrieval Augmented Generation and cross encoders to reduce hallucinations by 85 percent and increase answer accuracy.

Model Agnostics Orchestration

You are never locked into one particular foundational model. Our agent ai development service intelligently routes queries to whichever model offers the lowest cost at any given moment.

FAQ'S

Your Questions Our Answers!

What percentage of routine administrative tasks can autonomous AI agents resolve?

Current agentic platforms have the technical capacity to automate 60 to 70 percent of all workflows. In the realm of customer service, autonomous AI systems deflect 35 percent of support tickets without any human interaction.

Traditional language models hallucinate because they’re trained on internet data. By switching to vector databases we ground the model in your specific data needs. Adding a cross encoder reranker to this stack decreases hallucination rates by an additional 40 percent.

Mid market companies achieve a positive return on investment in under one year. In fact, 74 percent of executives report quick ROI with 396 percent total ROI over three years.

Enterprise IT leaders list data privacy and intellectual property as their top two security concerns regarding AI. Our ai agents development services alleviate these risks by ensuring data isolation from public model training.

Our Clients