AI Consulting / Training / Onboarding · Since 2012
We get your company running on AI, and teach your people to run it.
Lingows AI consults on where AI fits, trains your teams to use it well, and onboards the systems into daily operations. Every engagement is backed by ten software products from the Lingows group.
- Founded 2012
- In AI since 2017
- 37-year founder
- 10 software products
02Services
Consult. Teach. Onboard.
Most AI efforts stall between the demo and daily use. Our engagements cover the whole path: deciding what to build, teaching people to use it, and putting it to work inside the business.
- 01
Consult
Find where AI pays off and where it will not.
Deliverables
- Opportunity map
- Prioritized roadmap
- Build or buy calls
- 02
Teach
Train teams to use AI well, safely, every day.
Deliverables
- Role-based workshops
- Prompt and workflow playbooks
- Acceptable use policy
- 03
Onboard
Put AI systems into daily operations.
Deliverables
- Agents and workflows deployed
- Integrations with your stack
- Adoption tracking and support
03Agentic
This is what agentic means.
An agentic workflow is a process where an AI agent receives a goal, plans the steps, calls tools such as a CRM or a calendar, checks its own results, and hands off to a person when judgment is needed. The console below replays a simplified example.
Demonstration · Simplified for illustration
- GOALBook a discovery call for a new inbound lead from Example Co.
- PLAN1 read the form 2 check the CRM 3 find open times 4 draft a reply 5 get approval
- TOOLcrm.search("Example Co.") → no record, lead created
- TOOLcalendar.find_slots(next 5 business days) → 3 options
- TOOLemail.draft(to: lead, options: 3)
- CHECKdraft reviewed against tone and facts
- HUMANapproval requested from the account owner
- DONEreply sent after approval, lead stage updated
04Solutions
Eight ways we put AI to work.
Agentic Workflow Automation
Agentic workflow automation chains several AI steps and system calls into one reliable process. A workflow reads an input, routes it, calls the tools it needs, pauses for human approval where required, and records every step. Lingows AI designs, builds, and operates these workflows in production.
AI Agents
An AI agent is software that reads a request, decides what to do, calls the systems it needs, and reports the result. Lingows AI builds agents that work inside a company's existing CRM, help desk, and data stores, then keeps those agents running after launch.
AI Integration
AI integration connects a language model to the systems a business already runs. Lingows AI builds typed tool layers, middleware, and MCP servers so models can read and write in a CRM, an ERP, or an internal API safely, with authentication, validation, and audit logging on every call.
AI Strategy Consulting
AI strategy consulting answers three questions: where AI would pay off in this business, what has to be true before it works, and in what order to build. Lingows AI runs readiness audits, writes sequenced roadmaps, trains internal teams, and drafts governance policy people can actually follow.
Business Process Automation
Business process automation removes repeated manual work from a company's back office. Lingows AI automates document processing, data entry, approval routing, and recurring reporting by combining models that read unstructured input with integrations that write clean records into systems of record.
Custom AI Chatbots
A custom AI chatbot answers from a company's own content and connects to that company's systems. Lingows AI builds chat for websites, phone lines, messaging channels, and internal knowledge bases, with retrieval grounded in approved sources and a defined handoff to a person.
Managed AI Operations
Managed AI operations is the ongoing work of keeping AI systems correct after launch. Model providers ship new versions, deprecate old ones, and change behavior without notice. Lingows AI monitors output quality, runs regression evaluations, migrates models, controls spend, and answers support requests under a defined response window.
Multimodal AI
Multimodal AI works with inputs beyond text: scanned documents, photographs, audio, video, and sensor readings. Lingows AI builds production systems that extract structure from those inputs, route the result into business workflows, and generate media where a business needs it at volume.
05Models
One request. The right model.
Multi-model orchestration routes each task to the AI model that fits it best, based on the job, the sensitivity of the data, speed, and cost. Lingows AI is vendor neutral and works across Anthropic, OpenAI, Google, xAI, Perplexity, Meta, and Mistral.
Example routing · Real routing is set per workload after testing
| Task | Example providers |
|---|---|
| Long documents | Anthropic Claude, Google Gemini |
| Live web research | Perplexity, xAI Grok |
| Images and video | Google Gemini, OpenAI |
| Private data on premises | Meta Llama, Mistral |
| High volume at low cost | Mistral, Meta Llama |
06Software
Ten products. One operating group.
The software the Lingows group builds and runs is the software we bring into your engagement.
Platforms
SpinFlowEnterprise AI platform with 17 frontier models and the business apps to put them to work.
Platforms
SpinFlow PMProjects, CRM, quotes, invoices, and client portals, operable by AI through MCP.
Platforms
SpinFlow GSC ConnectorSearch Console, GA4, Google Ads, and Business Profile in one AI connector.
Learning and advisory
SpinFlow AcademyAI training in nine modules and three certification tracks.
Page in progressLearning and advisory
TitanWaveAI onboarding that shows where AI works for a company and where it does not.
Learning and advisory
mentorOSAn AI mentor with long-term memory, built around life domains.
Page in progressGrowth
Titan AI AdsAI-assisted advertising.
Page in progressGrowth
QuoteCraft ProQuoting for multi-company operators, with payments routed per company.
Page in progress
Three rings
Platforms at the core, learning and advisory in the middle, growth on the outside. Point at a product to stop its ring.
07Since 2012
- Founded
- 2012
- Building with AI since
- 2017
- Years of founder experience
- 37
- Software products
- 10
Lingows was building with AI five years before ChatGPT launched. That head start is in every engagement.
08Learn
Learn how AI actually gets adopted.
Newest guide per stage
Consult · Intermediate · 8 min
How to build an AI business case
Teach · Beginner · 8 min
How to run an AI workshop for leadership
Onboard · Advanced · 9 min
How to keep AI systems secure and compliant
Latest from the blog
Blog · 4 min read
Claude for Business: Opus and Sonnet Model Tiers Explained
As of July 2025, Anthropic's Claude 4 family splits into tiers built for different jobs. Opus handles deep reasoning and complex multi-step tasks, while Sonnet trades some reasoning depth for speed and lower cost. Choosing the right tier for each workflow determines whether an AI deployment is fast and affordable or accurate and thorough.
Blog · 4 min read
The Future of AI Customer Service for Denver Businesses
Denver businesses face a support staffing challenge that looks different from a national call center. Seasonal tourism swings, a competitive local labor market, and multi-location operations across the Front Range all put pressure on customer service teams. AI tools can absorb some of that pressure, but only when applied to the parts of the workflow that actually cause the strain.
Blog · 3 min read
AI Security Best Practices: Protecting Your Denver Business From Data Breaches and Compliance Violations
Denver businesses adopting AI face new risks around data handling, vendor access, and regulatory compliance. This guide covers practical security controls for AI systems, from data governance to access management, so leadership teams can deploy AI tools without exposing sensitive customer or company information to unnecessary risk.
09Reach
Colorado roots. National delivery.
Lingows AI is headquartered in Lafayette, in the Boulder County tech corridor, and works with companies across the United States.
10FAQ
Questions companies ask first.
What does Lingows AI do?
Lingows AI is an AI consulting, training, and onboarding firm. Lingows AI finds where AI fits in a business, trains teams to use AI well, and puts agents, agentic workflows, and integrations into daily operations. Every engagement is backed by ten software products built and run by the Lingows group.
What is the difference between AI consulting, AI training, and AI onboarding?
AI consulting decides what to build, with an opportunity map, a prioritized roadmap, and build or buy calls. AI training teaches teams to use AI safely through role-based workshops and playbooks. AI onboarding deploys agents and workflows, connects them to existing tools, and tracks adoption inside daily operations.
How does an engagement with Lingows AI start?
An engagement with Lingows AI starts with a free consultation with founder Matthias Moore. The working session covers where AI fits, what AI will cost, and what to do first. Companies can also take the AI Readiness Assessment online beforehand to bring a clear starting point.
Is Lingows AI tied to one AI vendor?
No. Lingows AI is vendor neutral and works across Anthropic, OpenAI, Google, xAI, Perplexity, Meta, and Mistral. Each task is routed to the model that fits the job, the sensitivity of the data, the speed required, and the budget, and routing is set per workload after testing.
What software does Lingows AI bring to an engagement?
Lingows AI brings ten products from the Lingows group, including the SpinFlow AI platform, SpinFlow PM, SpinFlow Academy for training, TitanWave for AI onboarding, TitanSEO for search visibility, NobleHost for luxury voice AI, and QuoteCraft Pro for quoting. Each product is chosen only when the product fits the workflow.
Where is Lingows AI located, and who does Lingows AI work with?
Lingows AI is headquartered at 400 E Simpson St in Lafayette, Colorado, in the Boulder County tech corridor. Lingows AI works with companies across the United States, delivering most consulting, training, and onboarding work remotely, with on-site sessions in Colorado and elsewhere when a project calls for them.
11 / Start
Bring one workflow. Leave with a plan.
A working session with Matthias Moore covers where AI fits, what it costs, and what to do first. No charge, no obligation.