Integration, AI workflows, and managed operations.
Every engagement follows the same path: understand the workflow, prove the value, then optimize continuously. No open-ended discovery phases. No speculative builds.
Workflow Integration
We connect the systems your team already uses — CRM, ERP, portals, shared inboxes — into workflows that move data automatically, surface status in real time, and eliminate re-entry.
AI Assistants & Knowledge Systems
We build internal copilots that sit on top of your SOPs, documentation, and business data. Your team asks questions in natural language; the system retrieves accurate answers with citations, not hallucinations.
Supervised Agentic Workflows
We design AI workflows that can draft responses, flag exceptions, triage support tickets, and recommend next steps — with human approval required before anything ships. No black boxes.
Managed AI Operations
After launch, we do not disappear. We monitor accuracy, tune prompts and routing, update knowledge bases as your business changes, and report measurable gains monthly.
Private AI & Custom Models
When your data is too sensitive for third-party AI, we build private models that run in your environment. Using open-source foundations like Llama and Mistral, we fine-tune models on your documentation, workflows, and business data. Your information never leaves your infrastructure. No API calls to external providers. Full data sovereignty, compliance-ready, and auditable from day one.
Your data. Your models. Your infrastructure.
Not every business can send data to OpenAI or Anthropic. For companies with HIPAA requirements, financial regulations, trade secrets, or simply a preference for control, LWIS builds private AI models that never leave your environment.
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Open-source foundations
Built on Llama, Mistral, and other auditable open-source models. No black boxes.
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Fine-tuned on your data
Trained on your SOPs, documentation, and workflow patterns. The model knows your business.
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Runs in your environment
On-premise or private cloud. Zero external API calls. Full compliance readiness.
A practical path from audit to managed AI operations.
Workflow Audit
Identify one or two workflows, find the friction, map approvals, and define a safe pilot.
1–2 weeks
Pilot Sprint
Launch one production workflow with human oversight, clear scope, and measurable outcomes.
2–4 weeks
Managed AI Ops
Monitor performance, refine routing, prompting, and knowledge sources, and improve reliability over time.
Ongoing
Start with a workflow audit.
1–2 weeks. A specific plan. No commitment required.
Book a Workflow Audit