Real Problems, Real Solutions

Does this sound like your business?

MIT found that 95% of AI projects fail because they never connect to real workflows. These are the workflows that matter and the problems LWIS actually solves.

Image: Disconnected business workflow illustration

Your team spends hours copying data between systems

What this looks like

Someone on your team manually moves orders from your portal into your ERP, then updates the CRM, then sends a confirmation email. Every day. If they are out sick, it does not get done.

What changes with LWIS

LWIS connects your systems so data flows automatically. Orders sync, records update, and confirmations send — without anyone copying and pasting.

One person knows how everything works — and when they are out, things break

What this looks like

Your operations depend on institutional knowledge. Procedures live in someones head, not in a system. When they leave, you lose months of context.

What changes with LWIS

LWIS documents workflows, builds them into systems, and layers AI assistants that surface the right procedure at the right time — so the knowledge belongs to the business, not one person.

You tried AI tools but nobody trusts the output

What this looks like

You bought an AI tool or built a chatbot. It hallucinates. Nobody uses it. Or worse — someone used it and it gave a wrong answer to a customer.

What changes with LWIS

LWIS builds supervised AI workflows where every AI output goes through human approval before it reaches anyone. You get the speed of AI with the safety of human review.

Exception handling is Slack messages and spreadsheets

What this looks like

When something goes wrong — a missing item, a stuck order, an approval that was never given — someone types it into Slack and hopes the right person sees it.

What changes with LWIS

LWIS builds structured exception routing. Issues get detected automatically, routed to the right person, tracked to resolution. Nothing falls through the cracks.

You are paying 3 people to do work that should take 1

What this looks like

Manual intake, manual triage, manual follow-up. Your team is busy, but the work is repetitive and rule-based. You know it could be faster, but you do not have time to fix it.

What changes with LWIS

LWIS automates the repetitive parts — intake validation, triage routing, follow-up sequences — so your team focuses on judgment calls and relationship work, not data entry.

Your reporting takes a full day every week

What this looks like

Someone spends every Monday pulling data from 4 systems, pasting it into a spreadsheet, and emailing a summary. By the time it is done, the data is already stale.

What changes with LWIS

LWIS builds automated reporting workflows that pull, summarize, and deliver — so your team gets real-time visibility without the manual assembly.

Your data is too sensitive to send to a third-party AI

What this looks like

You know AI could help, but your data includes patient records, financial details, trade secrets, or client information that cannot leave your systems. Every AI tool you have looked at sends data to OpenAI, Anthropic, or another external provider. Compliance says no. Legal says no. You are stuck.

What changes with LWIS

LWIS builds private AI models that run entirely in your environment. Fine-tuned on your data using open-source foundations like Llama and Mistral. No external API calls. Full data sovereignty. Your AI works for you without your data ever leaving the building.

See yourself in any of these?

A workflow audit takes 1–2 weeks and gives you a specific, actionable plan.

Book a Workflow Audit