AI implementation services that take generative AI and agents into production

From the first use case to a working solution your teams actually use. We design, build and integrate generative AI and AI agents around your workflows, data and systems, with adoption built in from the start.

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Choose a workflow Example

How an AI agent works

  1. A customer request arrives
  2. The AI agent classifies it and drafts a reply
  3. A person reviews the draft Human review
  4. The support system is updated
  5. The customer is notified

Example workflow. Every solution includes human review points.

Most AI pilots never make it to production

  • 5%about 5% of custom enterprise AI tools reach production
  • 95%about 95% of organizations saw no measurable return from generative AI
  • 40%up to 40% of enterprise applications expected to include AI agents by the end of 2026

Generative AI pilots are easy to start and hard to finish. MIT's 2025 research found that only about 5% of custom enterprise AI tools reach production, and about 95% of organizations saw no measurable return from generative AI. The main reasons were tools that did not fit real workflows and systems that could not adapt to how teams work.

At the same time, the next wave is arriving. Gartner expects up to 40% of enterprise applications to include task-specific AI agents by the end of 2026, up from less than 5% in 2025. Organizations that cannot move from pilot to production now will fall further behind as agents take on more work.

Successful implementation depends on three things: the right use case, a solution built into the workflow, and people trained to use it.

Sources: MIT NANDA, The GenAI Divide (2025); Gartner, August 2025.

Who this is for

  • Operations leaders

    Looking to automate repetitive, multi-step processes in customer service, finance, HR or back-office work.

  • Organizations with stalled AI pilots

    That need a partner to take them into production.

  • Knowledge-intensive businesses

    That want employees and customers to get accurate answers from internal documents and data.

  • IT and data teams

    That need extra capacity and expertise to deliver secure AI solutions.

  • SaaS and EdTech companies

    Embedding AI features such as assistants, recommendations and adaptive content into their products.

  • Mid-market companies

    That move faster than large enterprises and want results within a quarter.

Our AI implementation services

Discover

Find the right use cases and make sure your data can support them.

AI Use-Case Discovery & Prioritization

We work with your teams to find where generative AI and automation will save the most time or add the most value, then rank each use case by impact, feasibility, data readiness and risk.

Best for
Organizations with many ideas and no clear starting point.
Typical deliverables
Use-case inventory, value and feasibility scoring, prioritized shortlist with business cases, recommended first pilot.

Data Readiness for AI

We assess and improve the quality, structure and accessibility of the data your AI solutions depend on, so they produce reliable results at scale.

Best for
Organizations whose AI ambitions are limited by fragmented or low-quality data.
Typical deliverables
Data readiness assessment, data preparation and pipeline recommendations, governance and access guidelines.

Build

Design and build solutions that fit into the way work already happens.

Knowledge Assistants & RAG Systems

We build AI assistants that answer questions from your own documents, policies and data using retrieval-augmented generation, so responses are accurate, current and traceable to their source.

Best for
Teams that spend hours searching for information, and organizations offering self-service support to customers or staff.
Typical deliverables
Content and data preparation, retrieval pipeline, assistant interface, accuracy testing, access controls and usage reporting.

AI Agents & Workflow Automation

We design and deploy AI agents that carry out multi-step tasks, such as triaging requests, preparing documents, updating systems and routing approvals, with clear human review points.

Best for
Repetitive, rules-heavy processes in customer service, operations, finance and back-office work.
Typical deliverables
Process mapping and redesign, agent design and build, system integrations, human-in-the-loop controls, monitoring and performance reporting.

LLM Integration into Business Systems

We connect leading large language models to the systems your teams already use, such as CRM, ERP, help desk and collaboration platforms, with secure prompt design and data handling.

Best for
Organizations that want AI inside existing tools rather than another standalone app.
Typical deliverables
Model selection, integration architecture, secure prompt and data design, testing, deployment and documentation.

Scale

Take promising pilots live and keep them delivering value.

Pilot-to-Production Support

We take stalled or underperforming AI pilots and get them live: fixing integration gaps, improving accuracy, adding governance and training the people who will use the solution every day.

Best for
Organizations with pilots that showed promise but never scaled.
Typical deliverables
Pilot review and gap analysis, remediation plan, production deployment, user training, adoption and value tracking.

How we work

  1. 1

    Discover

    We map the workflow, the users and the outcome you want to improve.

  2. 2

    Design

    We define the solution, data requirements, integrations, controls and success measures.

  3. 3

    Build and test

    We develop the solution in short cycles, testing accuracy and usability with real users.

  4. 4

    Deploy and train

    We launch into production and train the teams who will use and oversee it.

  5. 5

    Measure and improve

    We track adoption and business value, then refine and extend the solution.

What makes us different

  • Adoption is part of the build

    Our learning specialists design the training and change support each solution needs, so it gets used after launch.

  • Workflow first, technology second

    We start from how work actually happens and design AI to fit it, which is where most pilots go wrong.

  • Responsible by design

    Every solution includes human review points, access controls and governance aligned with your AI policy.

  • Model and vendor neutral

    We choose the models and tools that suit your data, security needs and budget, and build around your existing systems.

Turn your best AI idea into a working solution

Tell us about the process or problem you want to improve. We will help you assess the opportunity and outline a practical path from pilot to production.

Schedule a Use-Case Consultation
Call us
+91 80727 23025
Email us
info@hayag.co

Discuss your AI use case

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Prefer to talk? Call +91 80727 23025 or email info@hayag.co.

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