Artificial Intelligence

Build AI into the workflows that drive your business

Identify the right opportunities, prove the business case, and build production AI that reduces costs, improves operations, and supports growth.

Our clients

Why AI initiatives struggle to deliver business value

Too many ideas, no clear investment priority

Leadership teams often see dozens of possible AI use cases but lack a practical way to compare business value, implementation cost, risk, and time to impact. Without clear prioritization, budgets are spread across experiments that do not address the most important operational or financial problems.

Pilots do not become part of daily operations

Many AI initiatives stop at a prototype or isolated tool. They may demonstrate technical potential, but they are not connected to the systems, workflows, approvals, and people required to produce measurable improvements in cost, capacity, speed, or customer service.

Data and systems are not ready for reliable AI

Information is often spread across disconnected applications, spreadsheets, documents, and legacy systems. Inconsistent data and weak integrations make AI outputs less dependable and increase the effort, cost, and risk of moving from experimentation into production.

Costs, ownership, and risk are difficult to control

As AI use expands, leaders need visibility into spending, performance, security, accountability, and human oversight. Without clear ownership and operating controls, AI costs can grow faster than expected while business outcomes remain difficult to measure.

Artificial intelligence services from strategy to scale

Artificial Intelligence

AI discovery, strategy, and roadmap

Identify where AI can reduce costs, improve operations, or support growth. We assess workflows, data readiness, implementation requirements, risk, and expected ROI before creating a prioritized AI roadmap.

Artificial Intelligence

AI workflow automation

Redesign repetitive and process-heavy work around the right combination of AI, automation, and human oversight. We connect workflows across existing applications, data, documents, and approval processes.

Artificial Intelligence

AI agents and agentic AI

Build AI agents that retrieve information, complete tasks, support employees, communicate with customers, and coordinate work across business systems. Our agentic AI solutions are designed around defined responsibilities, controls, and measurable outcomes.

Artificial Intelligence

AI Pods

Move a high-value use case into production with a focused AI delivery team. Each Pod brings together the product, engineering, data, and AI expertise needed to validate, build, integrate, and launch the solution.

Artificial Intelligence

Generative AI and AI software development

Build custom AI applications, add intelligent capabilities to existing products, or create new AI-native software around your business requirements and users.

Artificial Intelligence

Machine learning development services

Use historical and real-time data to improve forecasting, detect anomalies, identify risks, and support operational and financial decisions. Our machine learning development services cover custom models, predictive analytics, recommendations, and optimization.

Artificial Intelligence

Data engineering and business intelligence

Create the connected and reliable data foundation AI needs to perform effectively. We bring together information from operational systems, cloud platforms, databases, documents, and third-party sources.

Artificial Intelligence

AI Ops, governance, and observability

Operate AI with visibility into quality, performance, security, usage, and cost. We establish AI governance and observability controls that support responsible AI adoption, human oversight, ongoing evaluation, and reliable production performance.

Find where AI fits in your workflow in 5 minutes

Describe one business workflow and our AI Workflow Discovery Agent will break it into steps, identify where AI can help, and rank the strongest opportunities by business value and implementation effort.

Practical path from AI opportunity to measurable value

01

01 AI strategy workshop

Designed for businesses that need clarity on where AI can create measurable value. In one collaborative session, we identify high-impact opportunities, assess readiness, and define the first practical steps for AI adoption.

Timeline: 1 day
Deliverables: AI readiness report | Use-case map | Prioritized roadmap | KPI recommendations

02 Discovery and solution design

Create a clear blueprint for the first AI initiative. We map the workflow, assess data and system readiness, define integration requirements, establish human oversight, and design the proposed solution.

Timeline: 1–2 weeks
Deliverables: Workflow map | ROI model | Solution blueprint | Data readiness assessment | Implementation plan

03 Launch the first AI use case

Build and validate the highest-priority AI use case within a defined business workflow. We measure cost, efficiency, accuracy, adoption, and business impact to determine whether the solution is ready for production.

Timeline: 4–6 weeks
Deliverables: Working AI pilot | KPI baseline | Performance report | Risk assessment | Production recommendation

04 Implement the end-to-end AI workflow

Connect the validated AI solution with the systems, data sources, approvals, and teams required to support the complete workflow in production.

Timeline: 6–10 weeks, depending on workflow and integration complexity
Deliverables: Production-ready AI workflow | System integrations | Approval paths | Monitoring setup | Team handoff guide

05 Scale AI across the business

Expand from one validated use case to additional workflows, teams, systems, and business functions. We establish the governance, observability, cost controls, and operating practices needed to support reliable AI at scale.

Practical path from AI opportunity to measurable value

step 1

AI strategy workshop

Timeline: 1 day
Deliverables: AI readiness report | Use-case map | Prioritized roadmap | KPI recommendations

step 2

Discovery and solution design

Timeline: 1–2 weeks
Deliverables: Workflow map | ROI model | Solution blueprint | Data readiness assessment | Implementation plan

step 3

Launch the first AI use case

Timeline: 4–6 weeks
Deliverables: Working AI pilot | KPI baseline | Performance report | Risk assessment | Production recommendation

step 4

Implement the end-to-end AI workflow

Connect the validated AI solution with the systems, data sources, approvals, and teams required to support the complete workflow in production.

step 5

Scale AI across the business

Results that make AI worth the investment

Operating cost savings across high-volume workflows

Suitable workflows in finance, operations, and customer service can deliver 10–15% process cost savings by reducing manual analysis, repeated handoffs, avoidable rework, and processing delays.

Increased capacity from your existing teams

Apply AI to repetitive and process-heavy work so teams can manage increasing transaction, service, and operational volumes without expanding headcount at the same rate.

Faster execution across core processes

Well-designed AI workflows can reduce cycle times by 20–30% across suitable processes such as order-to-cash, reporting, document processing, approvals, and customer service.

Clearer financial and operational decisions

Bring together fragmented business data to improve forecasting, identify performance issues earlier, and give leadership a more current view of costs, cash flow, demand, and operational risk.

Validated business case before wider investment

Test the first use case against agreed measures for cost, speed, accuracy, adoption, and business impact within a focused 4–6 week pilot before expanding into additional workflows.

Start with the AI opportunity that makes the clearest business impact.

Get in touch

Success Stories in Spotlight

35% reduction in missed opportunities with AI-powered lead enrichment and routing

Security & Mobile Patrol ServicesAI agentsArtificial IntelligenceWorkflows & Agentic Delivery

View case study

tkxel doesn't just deliver solutions, they take the time to deeply understand the problem first.

Reed Nyffeler

Founder of Signal

60% reduction in response times through AI-automated email workflows

Hospitality & TravelArtificial Intelligence

View case study

WATCH TESTIMONIAL

Don Sgouridis

CIO, BBJ Latavola

50% faster discovery with an AI-powered knowledge sharing agent

AgricultureArtificial Intelligence

View case study

"I’m going over testing feedback about the chatbot; overall, testers found the product to be fantastic. We’re very happy with this."

Chris Head

Director of IT, CCOF

AI delivery built for growing B2B companies

Proven through our own AI transformation

We have applied AI agents, machine learning, and automated workflows across our own sales, marketing, and delivery operations, giving us practical experience with adoption, governance, performance, and change management.

Built for mid-market realities

Our approach accounts for existing systems, limited internal capacity, practical budgets, and the need to show value quickly. You can begin with one focused use case without committing to a large transformation program.

One accountable partner from strategy to production

Business consultants, product teams, AI engineers, data specialists, cloud experts, and cybersecurity professionals work together under one delivery model, reducing vendor handoffs and fragmented ownership.

Established technology and security credibility

tkxel brings more than 18 years of technology delivery, over 1,000 professionals, ISO 27001 certification, and partnerships with Microsoft, AWS, Salesforce, and ServiceNow.

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

AMERICA’S FASTEST GROWING COMPANY

Top 15 inspiring workplaces for 2026

titan business PLATINUM award AI & AUTOMATION

FINANCIAL TIMES

mogul people leader

FORBES COACHES COUNCIL

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

Download the AI Operational Readiness Checklist

Assess production readiness across reliability, capacity, and monitoring
Identify gaps in ownership, escalation, and risk controls
Get a readiness score with clear recommendations for next steps

Build AI solutions for real business outcomes

“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

What artificial intelligence services does tkxel provide?

tkxel provides AI consulting services, custom AI development, AI agents, generative AI development, machine learning, intelligent process automation, data engineering, AI integration, AI governance, and observability. We also offer AI Pods for organizations that need a focused team to move a defined use case into production.

How can AI help SMBs and mid-market organizations?

AI can help SMBs and mid-market organizations reduce manual work, increase operational capacity, improve forecasting, accelerate customer service, and make better use of business data. The strongest opportunities are usually found in repetitive, high-volume workflows where improvements can be measured through cost, speed, accuracy, or revenue impact.

How do we identify the right AI use case for our business?

We begin by assessing your workflows, business priorities, data, systems, costs, and operational constraints. Potential use cases are then ranked according to expected value, implementation effort, risk, readiness, and time to impact.

How long does it take to implement an AI solution?

An AI strategy workshop can be completed in one day, while discovery and solution design generally take one to two weeks. A focused AI pilot may take four to six weeks, with complete workflow implementation typically requiring six to ten weeks depending on integration and operational complexity.

How much does custom AI development cost?

The cost of custom AI development depends on the use case, data readiness, integration requirements, model selection, security controls, and expected scale. tkxel defines the business case and implementation requirements during discovery so leaders can evaluate likely costs and returns before committing to full development.

Can AI work with our existing systems and data?

Yes. AI solutions can be connected with existing applications, databases, cloud platforms, documents, customer relationship management systems, enterprise resource planning software, and third-party tools. AI integration services allow organizations to introduce new capabilities without replacing their entire technology environment.

How does tkxel manage AI security, governance, and reliability?

tkxel establishes access controls, data protection, human oversight, testing, monitoring, and escalation processes as part of the implementation. AI governance and observability provide ongoing visibility into output quality, performance, usage, security, reliability, and operating costs.

How do you measure the ROI of an AI implementation?

AI ROI is measured against agreed financial and operational KPIs, such as processing cost, hours saved, cycle time, accuracy, customer response time, adoption, capacity, or revenue impact. The first use case is validated against these measures before wider AI investment is recommended.

Build AI into the workflows that drive your business

Our clients

Why AI initiatives struggle to deliver business value

Too many ideas, no clear investment priority

Pilots do not become part of daily operations

Data and systems are not ready for reliable AI

Costs, ownership, and risk are difficult to control

Artificial intelligence services from strategy to scale

Artificial Intelligence

AI discovery, strategy, and roadmap

Artificial Intelligence

AI workflow automation

Artificial Intelligence

AI agents and agentic AI

Artificial Intelligence

AI Pods

Artificial Intelligence

Generative AI and AI software development

Artificial Intelligence

Machine learning development services

Artificial Intelligence

Data engineering and business intelligence

Artificial Intelligence

AI Ops, governance, and observability

Find where AI fits in your workflow in 5 minutes

Practical path from AI opportunity to measurable value

01

Practical path from AI opportunity to measurable value

AI strategy workshop

Discovery and solution design

Launch the first AI use case

Implement the end-to-end AI workflow

Scale AI across the business

Results that make AI worth the investment

Operating cost savings across high-volume workflows

Increased capacity from your existing teams

Faster execution across core processes

Clearer financial and operational decisions

Validated business case before wider investment

Start with the AI opportunity that makes the clearest business impact.

Success Stories in Spotlight

35% reduction in missed opportunities with AI-powered lead enrichment and routing

Reed Nyffeler

60% reduction in response times through AI-automated email workflows

Don Sgouridis

50% faster discovery with an AI-powered knowledge sharing agent

Chris Head

Proven through our own AI transformation

Built for mid-market realities

One accountable partner from strategy to production

Established technology and security credibility

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

AMERICA’S FASTEST GROWING COMPANY

Top 15 inspiring workplaces for 2026

titan business PLATINUM award AI & AUTOMATION

FINANCIAL TIMES

mogul people leader

FORBES COACHES COUNCIL

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

Download the AI Operational Readiness Checklist

Build AI solutions for real business outcomes

Nick Drogo

Robert K Burger

Umair Bashir

Pam Chitwood

Nick Drogo

Robert K Burger

Umair Bashir

Pam Chitwood

Frequently asked questions

Latest insights & resources

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Portugal

Pakistan

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