GenAI Solutions

Generative AI Engineering Turning Ideas Into Working Systems in Weeks

Most AI projects stall after the proof of concept. We design and build custom GenAI solutions around your actual workflows, data, and teams so AI reaches production and stays there.

Our clients

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Do these AI challenges sound familiar?

74%

of businesses struggle to achieve and scale value from AI initiatives.

75%

of companies lack the in-house AI expertise they need.

70%

of AI challenges come from people and process gaps.

Custom GenAI solutions for real business operations

GenAI Solutions

GenAI solution design and architecture

Turn a priority business use case into a clear GenAI solution blueprint. We define the workflow, user journey, data sources, model approach, integrations, security requirements, and success metrics before development begins. For teams that need early clarity, this also connects generative AI consulting with a low-risk delivery plan before build starts.
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GenAI Solutions

Custom GenAI application development

Build GenAI-powered applications tailored to your internal processes, customer experiences, and product needs. We develop solutions that fit into existing operations instead of forcing teams to adopt disconnected AI tools.
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GenAI Solutions

AI copilots and assistants

Create role-specific copilots for support, sales, operations, HR, finance, engineering, and internal knowledge work. These assistants help users find information, summarize data, draft responses, and complete tasks faster with the right business context.
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GenAI Solutions

RAG and company knowledge systems

Connect GenAI models with your approved documents, SOPs, policies, knowledge bases, and business data. Our RAG development services use embeddings and vector databases such as Pinecone, Weaviate, or pgvector to make AI responses more grounded, accurate, and useful for real workflows.
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GenAI Solutions

Agentic workflow automation

Build AI agents that can complete multi-step tasks across systems, tools, and teams. We design agentic workflows with human approvals, audit logs, escalation paths, and control points so automation stays reliable and manageable.
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GenAI Solutions

LLM integration, monitoring, and governance

Integrate models such as GPT, Claude, Gemini, Azure OpenAI, AWS Bedrock, or open-source LLMs into your applications. We add evaluation, guardrails, logging, cost tracking, performance monitoring, and governance controls for secure production use.
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How we build GenAI solutions from idea to production

01

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01 Discover & align

AI Workshop
Designed for decision-makers to explore where AI fits in their business. In one collaborative session, we identify high-impact opportunities, assess readiness, and outline an adoption roadmap.

Duration: 1 Day

Deliverables: Readiness report | Use-case map | Prioritized roadmap

02 Plan and validate

AI Proof of Value
Validate the selected AI use case through a focused pilot, such as a RAG-based copilot, workflow automation agent, internal knowledge assistant, or decision-support tool. We define success metrics before build begins, test the solution against real workflow conditions, and confirm whether the use case is ready to scale.

Duration: 4–6 Weeks
Deliverables: Interactive pilot | Performance metrics | KPI baseline | Compliance checklist | Scale recommendation

90-Day AI MVP
Develop a production-ready MVP with authentication, logging, monitoring, and human-in-the-loop workflows to ensure measurable outcomes.

Duration: 6–10 Weeks
Deliverables: Live MVP deployment | SLOs | Adoption plan | Training resources

03 Transform & Scale

Transform & Scale
Build full-scale GenAI products designed for seamless integration, superior user experiences, advanced optimization, and scalable deployment across your organization.

Duration: 90 Days Onwards

Deliverables: Multi-use-case rollout | Performance reports | Operational playbooks

How we build GenAI solutions from idea to production

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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
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GenAI use cases across industries

  • Financial services
  • Healthcare
  • Retail and eCommerce
  • Manufacturing
  • Logistics and supply chain
  • Legal services
  • Software and information technology

Drive faster reporting, risk review, compliance workflows, and customer communication with GenAI solutions built around financial data and operational controls.

  • Generate financial summaries, reports, and compliance documentation.
  • Analyze transactions, claims, and records for anomalies or risk signals.
  • Support credit risk, portfolio review, and market research workflows.
  • Build conversational assistants for onboarding, support, and advisory workflows.
  • Coordinate audit preparation, reconciliation, and risk review through agentic workflows.
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Reduce administrative workload and improve access to clinical, operational, and patient information through secure GenAI systems.

  • Summarize patient records, clinical notes, and medical documentation.
  • Automate claims documentation, authorization letters, and intake summaries.
  • Help care teams retrieve approved information from policies, records, and knowledge bases.
  • Generate patient communication, education material, and follow-up instructions.
  • Support scheduling, claims, and administrative workflows with AI assistants.
healthcare

Improve customer experience, content operations, inventory visibility, and support workflows with GenAI-powered solutions.

  • Generate product descriptions, metadata, FAQs, and campaign content at scale.
  • Personalize recommendations, offers, and customer communication.
  • Summarize customer feedback, reviews, tickets, and product performance insights.
  • Automate returns, refunds, order updates, and support workflows.
  • Support demand forecasting, promotion planning, and inventory reporting.
Ecommerce

Improve production visibility, quality control, maintenance planning, and operational reporting with GenAI systems connected to business and plant data.

  • Generate production reports, KPI summaries, SOPs, and training materials.
  • Summarize equipment logs, maintenance records, and operational incidents.
  • Support quality control with visual inspection insights and defect summaries.
  • Analyze process data to identify downtime, waste, or performance issues.
  • Coordinate procurement, maintenance, and production workflows through AI agents.
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Improve visibility, scheduling, documentation, and communication across transportation, warehousing, and fulfillment workflows.

  • Generate shipment summaries, delivery updates, and customer communication.
  • Automate documentation, billing support, customs forms, and status reports.
  • Analyze route, fleet, warehouse, and delivery performance data.
  • Support proactive maintenance and delay-risk analysis.
  • Coordinate dispatch, warehouse, carrier, and customer support workflows.
industry logistics

Speed up document-heavy workflows and improve consistency across research, review, compliance, and knowledge management.

  • Summarize contracts, case files, policies, and legal research.
  • Extract clauses, obligations, risks, and key terms from legal documents.
  • Support compliance checks, policy alignment, and audit documentation.
  • Build searchable knowledge assistants for legal archives and internal references.
  • Coordinate contract review, discovery, and legal operations through agentic workflows.
industry legal

Accelerate software delivery, improve reliability, and reduce repetitive technical work across engineering, DevOps, and IT support.

  • Generate code snippets, test cases, documentation, and API guides.
  • Summarize incidents, logs, root-cause signals, and release notes.
  • Support DevOps workflows such as deployment checks, monitoring summaries, and release documentation.
  • Build internal knowledge assistants for engineering and IT teams.
  • Automate IT helpdesk, access requests, and service management workflows.
industry software
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Why tkxel is the right partner for GenAI solutions

Faster path to production

Move from a validated use case to a working GenAI solution in weeks with fixed-scope delivery, reusable development frameworks, and a clear path from PoC to MVP.

Measurable business impact

Build GenAI solutions around specific workflow outcomes such as faster response times, reduced manual effort, better knowledge access, lower support load, and improved team productivity.

Responsible by design

Develop GenAI systems with governance practices aligned to NIST AI RMF, ISO 27001, and EU AI Act considerations, helping teams manage risk, transparency, privacy, and compliance from the start.

Built-in guardrails

Maintain control with role-based access, prompt controls, output evaluation, audit logs, human-in-the-loop approvals, and monitoring to reduce misuse, improve reliability, and support safe adoption.

The foundation behind reliable GenAI solutions

Model selection and integration

Model selection and integration

We help select and integrate the right model for your use case, whether that means OpenAI, Azure OpenAI, Claude, Gemini, AWS Bedrock, or open-source LLMs.

RAG and data grounding

RAG and data grounding

We connect GenAI systems with approved documents, databases, knowledge bases, SOPs, and business systems so responses are grounded in your internal context.

System integrations

System integrations

We integrate GenAI solutions with CRMs, ERPs, helpdesks, data platforms, internal tools, cloud services, and APIs so AI works inside existing workflows.

Security and access control

Security and access control

We add role-based access, authentication, data protection, audit trails, and secure deployment options to protect sensitive business information.

Evaluation and monitoring

Evaluation and monitoring

We monitor output quality, hallucination risk, latency, usage, cost, and performance so the solution can improve after deployment.

Guardrails and governance

Guardrails and governance

We design approval flows, policy controls, human-in-the-loop steps, and governance workflows to keep GenAI usage safe, compliant, and manageable.

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

AMERICA’S FASTEST GROWING COMPANY

AMERICA’S FASTEST GROWING COMPANY

Top 15 inspiring workplaces for 2026

Top 15 inspiring workplaces for 2026

titan business PLATINUM award AI & AUTOMATION

titan business PLATINUM award   AI & AUTOMATION

FINANCIAL TIMES

FINANCIAL TIMES

mogul people leader

mogul people leader

FORBES COACHES COUNCIL

FORBES COACHES COUNCIL

ISO 27001 CERTIFIED

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

CMMI DEV 3 CERTIFIED

Start your GenAI strategy with a 1-day workshop

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“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

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

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

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

Pam Chitwood

Product Manager, ABB

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“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

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

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

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

Pam Chitwood

Product Manager, ABB

Frequently asked questions

What are generative AI development services? faq faq

Generative AI development services help businesses design, build, integrate, and deploy AI-powered solutions using models such as GPT, Claude, Gemini, and Llama. These services can include AI assistants, RAG systems, document intelligence, workflow automation, prompt engineering, LLM integration, testing, monitoring, and production deployment.

How are generative AI development services different from generative AI consulting? faq faq

Generative AI consulting focuses on strategy, readiness, use-case selection, and roadmap planning. Generative AI development services focus on building the actual solution, such as a GenAI application, AI copilot, custom LLM solution, RAG-based knowledge system, or AI workflow connected to your business tools and data.

What types of generative AI solutions can tkxel build? faq faq

tkxel builds enterprise generative AI solutions such as internal knowledge assistants, customer support copilots, document intelligence systems, GenAI product features, RAG applications, and agentic workflow automation. Each solution is designed around your users, data sources, workflows, integrations, and path-to-production.

What are RAG development services, and when do businesses need them? faq faq

RAG development services connect large language models with approved business data, documents, SOPs, policies, and knowledge bases. RAG uses embeddings, retrieval pipelines, and vector databases such as Pinecone, Weaviate, or pgvector to generate more grounded, context-aware responses.

Do all custom LLM solutions require fine-tuning? faq faq

No. Fine-tuning is useful for specific needs, but many business use cases can be solved with RAG, prompt engineering, tool calling, workflow design, and evaluation. tkxel helps choose the right approach based on accuracy needs, data availability, security requirements, cost, and performance.

How does tkxel reduce hallucinations in GenAI solutions? faq faq

Hallucination mitigation starts with the right architecture. tkxel uses RAG, approved data sources, prompt engineering, output evaluation, confidence checks, monitoring, guardrails, and human-in-the-loop workflows to make GenAI outputs more reliable. No GenAI system can guarantee zero hallucinations, but the right controls reduce risk.

How long does it take to build a GenAI solution? faq faq

Timelines depend on the use case, data readiness, integrations, and security requirements. For focused, fixed-scope GenAI solutions, tkxel can often deliver a PoC or MVP within a 4–8 week delivery window. This gives teams a low-risk way to validate value, create an investor-ready or leadership-ready demo, and define a clear path-to-production.

Upcoming Webinar

FinOps for AI Workflows: Controlling Cloud Costs for Businesses

August 12, 2026 10:00 am EST

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Your AI pilot didn't stall because AI can't do the work.