Generative AI

Generative AI that fits how the business actually works.

Intro

Generative AI that fits how the business actually works

Most content teams aren't short of ideas. They're short of time. Drafting, rewriting, and adapting content across formats and audiences - these tasks consume capacity that could go elsewhere. DTC Infotech designs and implements enterprise Generative AI solutions that reduce repetitive work without removing judgment. Where subject matter experts stay in control, the AI handles the groundwork.

A Harvard study found that teams using GenAI complete tasks 25% faster and produce output rated 40% higher quality by independent reviewers.

Offerings/Services

Strategy and roadmap

We begin by understanding your long-term business objectives. The strategy we build connects all three pillars of your business. These include content, operations, and customer experience. This supports sustainable growth and keeps risk in check.

Content generation and automation

As we deploy AI copilots, your content teams spend less time on first drafts. While the AI copilots handle the groundwork across functions, your subject matter experts decide what goes out and what doesn't.

AI copilots and virtual assistants

Together with your teams, we design chatbots, advisors, and copilots around your enterprise context and user intent. This yields faster, more relevant responses - for both customers and employees.

GenAI integration and deployment

You don’t have to replace existing applications. We embed foundation models directly into the apps via secure APIs and microservices. This works across cloud, on-prem, and edge environments.

Guardrails, governance and LLMOps

Reliable AI in production starts with the right controls. We set up guardrails, evaluations, and model tuning. The system stays safe, compliant, and aligned as the business evolves.

70% - Time SavedOn repetitive content tasks

3x - Output IncreaseContent production velocity

Where organisations are putting it to work

Banking and financial services

Capabilities

Enterprise-ready solutions

From AI copilots to autonomous agents, deployments are configured for your environment. Private GPT deployments keep data secure. Everything integrates with what you already have.

Platform expertise

We work across Azure OpenAI, AWS Bedrock, and open-source models like Llama and Mistral. The right platform depends on your cloud strategy, cost requirements, and scale - we help make that call.

Custom fine-tuning

Foundation models are fine-tuned on your proprietary data, knowledge bases, and business processes. Techniques like RAG and PEFT reduce hallucinations and protect IP while keeping outputs relevant.

End-to-end delivery

There are no handoffs between a strategy team and a delivery team here. One team takes a use case from identification through deployment, integration, and governance. What gets scoped gets built and supported.

AI with guardrails

Outputs that can't be explained or audited create risk further down the line. We build in factual accuracy checks, content filtering, bias detection, and human-in-the-loop reviews from the start - not as a final layer, but as part of how the system works.

Deployments

Case Studies

E-Commerce

E-Commerce - AI customer support

E-commerce support teams were handling high volumes of repetitive queries manually, driving up costs and slowing resolution times.

Support costs reduced. Resolution times cut to seconds.

Advertising

Advertising - creative evaluation

Ad creative decisions were being made on subjective judgment, with no consistent framework for comparing which visual would perform better before a campaign went live.

Subjective bias removed from creative selection. Testing cycles compressed.

Advertising

Advertising - video ad performance

Advertisers had no way to identify which moments in a video ad were holding attention and which were losing it until campaign results came in.

High-impact moments identified before launch. Underperforming segments fixed before spend is committed.

Our approach

Enterprise AI implementation built around your business, not a model

Embed into everyday work

The hardest part of Enterprise AI integration isn't the technology; it's getting people to trust and use it. We embed AI in the applications your teams already use. This way core systems stay stable while AI eases into the day-to-day workflow, moving at a pace that builds confidence in people.

Maintain oversight as adoption grows

As adoption spreads across teams, we keep governance visible. Monitoring, access controls, and review processes keep AI accountable as it moves across more teams. Performance improves over time without losing operational control.

Shape AI around your environment

Generic AI produces generic results. So we configure models to reflect your data, terminology, and operating realities. We take the time to understand your long-term business objectives and how you foresee an AI-enabled tech infrastructure to fulfill your vision.

What next

Identifying where Generative AI creates the most value is the first decision. Getting it into production is the second. We can help with both.

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