Generative AI

Generative AI solutions built to create real business leverage

Generative AI only matters when it works in production. tkxel builds secure, scalable GenAI systems tied to real outcomes.

Our clients

Why most generative AI initiatives stall

2.7x

higher costs appear when models are deployed without governance, monitoring, or optimization.

68%

of GenAI pilots never reach production due to weak data foundations and unclear ownership.

43%

lower adoption happens when GenAI tools are detached from workflows and user context.

What makes generative AI actually valuable

Workflow-native intelligence

GenAI embedded directly into daily tools and processes, not added as a standalone chatbot.

Data-aware responses

Models grounded in your data deliver relevant, accurate outputs aligned with business context.

Secure by design

Access controls, privacy, and auditability are built in from the start.

Measurable impact

Use cases are defined by outcomes like time saved, cost reduced, or revenue enabled.

Generative AI services we offer

GenAI strategy and use case design

Identifying high-impact, low-risk GenAI opportunities tied to business goals.

AI agent development

Building autonomous and semi-autonomous agents for specific roles and tasks.

RAG implementation

Connecting LLMs to private data sources securely and efficiently.

LLM integration and optimization

Selecting, integrating, and optimizing models for performance and cost.

Prompt engineering and evaluation

Designing prompts, tests, and feedback loops for reliable outputs.

Security, governance, and compliance

Applying controls, audits, and policies for enterprise-grade GenAI.

Business outcomes teams see with GenAI

Faster execution

Automate repetitive knowledge work and accelerate decision cycles across teams.

Lower operating costs

Reduce manual effort in support, reporting, and content-heavy processes.

Better knowledge access

Employees get instant, accurate answers from internal systems and documents.

Scalable productivity

GenAI scales expertise without proportional headcount growth.

Competitive differentiation

Custom GenAI capabilities are hard for competitors to copy.

Plan your GenAI roadmap

Book free consultation

Success Stories in Spotlight

Transforming a legacy system into a thriving full-featured inventory management platform

Software & ITEngineering

View case study

WATCH TESTIMONIAL

Rob Hage

CEO, AutoconX Systems

Enhancing cybersecurity and system integration for leading global banking institution

FInancial ServicesCybersecurity

View case study

“Partnering with tkxel improved our cybersecurity and QA, making our tech smoother and safer.”

Steve Russell

CIO, Barclays

tkxel upgraded Elia Wellness’s LMS, helping it scale to 1.2M+ users

HealthcareEngineering

View case study

WATCH TESTIMONIAL

Geraldine Przybylko

Health Strategy Consultant

Identified $1.2M in annual efficiency gains through a 5-day AI workshop and readiness assessment.

HealthcareGenerative AI Consulting

GenAI Readiness + Use-Case Discovery

“Tkxel helped us pinpoint high-value use cases quickly. The roadmap made adoption clear, structured, and grounded in ROI.”

Reduced manual reporting workload by 60% after deploying a RAG-powered internal knowledge agent.

FInancial ServicesGenAI Implementation & RAG Systems

AI Knowledge Assistant (Pilot to MVP)

“The AI agent transformed our operations. What took hours now takes seconds — with accuracy we can rely on.”

— Director of Compliance, Regional Finance Firm

Reduced operational workload by 40% using workflow automation agents across finance and HR.

Professional ServicesAgentic AI

Workflow Automation Agent

"tkxel helped us eliminate hundreds of manual steps each week. The agents integrated seamlessly with our existing tools and improved our turnaround times instantly."

COO, Leading Professional Services Firm

Cut customer support resolution time by 55% with a GenAI assistant tailored on proprietary data.

SaaSLLM Integration & Customization

Customer Support AI Assistant

"Our support backlog dropped drastically. tkxel's approach to training and guardrails ensured the assistant stayed accurate and compliant."

CEO, Fast-Growing SaaS Platform

Validated 7 high-ROI AI use cases in two weeks, enabling a clear 12-month adoption strategy.

Retail & E-CommerceAI Workshop & Consulting

AI Strategy + Use-Case ROI Modeling

"The clarity we gained was invaluable. Instead of chasing trends, we now have a focused, practical plan for AI adoption."

Chief Digital Officer, Multichannel Retail Brand

What tkxel delivers with generative AI

GENERATIVE AI

Custom GenAI applications

We build role-specific GenAI apps for support, operations, analytics, and internal productivity.

GENERATIVE AI

AI agents and copilots

Task-driven agents that execute workflows, retrieve knowledge, and assist decision-making.

GENERATIVE AI

Retrieval-augmented generation (RAG)

GenAI grounded in private documents, databases, and systems for accurate, current answers.

GENERATIVE AI

Model integration and orchestration

We integrate and orchestrate leading LLMs with tools, APIs, and enterprise systems.

GENERATIVE AI

Prompt engineering and tuning

Prompts, chains, and evaluations designed for consistency, safety, and performance.

GENERATIVE AI

Monitoring and governance

Observability, cost tracking, and guardrails to keep GenAI reliable at scale.

How our generative AI process works

01

01 Discover

We define use cases, users, data sources, risks, and success metrics.
Deliverables: Use case map, feasibility assessment
Duration: 1–2 weeks

02 Design

Architecture, data flows, prompts, and guardrails are designed for production use.
Deliverables: GenAI architecture, design specs
Duration: 2–3 weeks

03 Build

Agents, RAG pipelines, and integrations are developed iteratively.
Deliverables: Working GenAI components
Duration: 6–10 weeks

04 Integrate

GenAI is embedded into existing tools, workflows, and systems.
Deliverables: Integrated workflows, APIs
Duration: Parallel with build

05 Validate

Accuracy, safety, cost, and performance are tested and tuned.
Deliverables: Evaluation reports, benchmarks
Duration: 2–3 weeks

06 Operate

Monitoring, optimization, and governance keep GenAI reliable at scale.
Deliverables: Dashboards, operating playbook
Duration: Ongoing

How our generative AI process works

step 1

Discover

We define use cases, users, data sources, risks, and success metrics.
Deliverables: Use case map, feasibility assessment
Duration: 1–2 weeks

step 2

Design

Architecture, data flows, prompts, and guardrails are designed for production use.
Deliverables: GenAI architecture, design specs
Duration: 2–3 weeks

step 3

Build

Agents, RAG pipelines, and integrations are developed iteratively.
Deliverables: Working GenAI components
Duration: 6–10 weeks

step 4

Integrate

GenAI is embedded into existing tools, workflows, and systems.
Deliverables: Integrated workflows, APIs
Duration: Parallel with build

step 5

Validate

Accuracy, safety, cost, and performance are tested and tuned.
Deliverables: Evaluation reports, benchmarks
Duration: 2–3 weeks

step 6

Operate

Monitoring, optimization, and governance keep GenAI reliable at scale.
Deliverables: Dashboards, operating playbook
Duration: Ongoing

Move generative AI from experiment to advantage

GenAI should create leverage, not noise. tkxel helps global teams deploy generative AI that performs in real operations.

We’ve been recognized by the best, year after year

AMERICA’S FASTEST GROWING COMPANY

TOP 100 INSPIRING WORKPLACES 2025

FORBES COACHES COUNCIL

FINANCIAL TIMES

mogul people leader

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

Move generative AI from experiment to advantage

“tkxel completely transformed the way we manage our customer relationships. Their customized CRM system streamlined our processes and improved customer satisfaction. We highly recommend their services to any business looking for real results.”

Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

“Tkxel has proven beyond par that they excel not just in building and integrating with our team but building at a level that is at par with any US development team. Working with Tkxel is one of the best decisions we have made.”

Umair Bashir

CTO, Replenium

“tkxel shared our vision right from the get go, and helped us achieve the unthinkable through perseverance and a thorough attention to detail. Their team was highly professional and possessed a firm grasp on technicalities, a combination that is hard to find in the industry.”

Pam Chitwood

Product Manager, ABB

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Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

Umair Bashir

CTO, Replenium

Pam Chitwood

Product Manager, ABB

Frequently asked questions

Is generative AI secure for enterprise use?

Yes—when designed with access controls, data isolation, and monitoring from day one.

Do we need to train our own models?

Not always. Many use cases succeed with fine-tuning, RAG, or orchestration of existing models.

Can GenAI work with our private data?

Yes. We implement secure RAG and integrations with internal systems.

How do you control costs?

Through model selection, caching, prompt optimization, and usage monitoring.

How long until we see results?

Most teams see measurable impact within 6–12 weeks, depending on scope.

Who owns the GenAI IP?

You retain full ownership of applications, prompts, and integrations built by tkxel.