Transform complex document operations into reliable, scalable workflows.
We combine AI agents, our proprietary platform, and hands-on expertise to automate your most complex document workflows end to end. Less manual work, lower risk, and reliable operations that fit the systems of record you already run.
Automating complex document operations is not a tool problem.
It is a transformation problem. The workflow is shaped by your industry, your systems, and years of exceptions only your team knows about. A tool that does not bend to that reality will either sit unused or silently create more work than it removes.
Transformation needs a platform flexible enough to meet the real workflow, and a partner close enough to the work to keep the solution aligned with how your operation actually runs. That combination is what we mean by “one platform, one partner.”
The four stages below are how we deliver it. They are not a consulting slide. They are the engagement you buy when you work with us, with concrete artifacts at every step.
Four stages, concrete artifacts at every step
Map the operation before proposing anything
We sit with your team and document how the work actually happens, not how the org chart says it does.
Most automation efforts fail because they start with a tool and hunt for a workflow to fit it. We do the opposite. We watch how documents move through your operation today, where the handoffs break, which formats and channels you cannot control, and which exceptions your team has learned to absorb without ever documenting.
The first thing we deliver is not a proposal. It is clarity. A workflow map grounded in real volumes, a bottleneck analysis with quantified time and error costs, and a baseline you can measure transformation against.
- Workflow map of the operation as it actually runs
- Bottleneck analysis with quantified time and error costs
- Performance baseline to measure impact against
Start where the value is, not where it is easy
Operations usually have five or ten workflows worth automating. They are not equally valuable, and not equally feasible.
We score candidate workflows on two axes. Impact: time saved, error reduced, risk removed. Feasibility: availability of data, clarity of rules, stability of upstream systems. The first workflow we ship is the one that maximizes the product of both. High enough impact to matter, feasible enough to be in production fast.
Success metrics get defined up front, not retrofitted later. If we cannot agree on what “working” looks like before we start, we will not agree on it when we are done.
- Prioritized roadmap across candidate workflows
- Success metrics defined and agreed up front
- Solution design for the first workflow, with phases and exit criteria
Build for production, not for demo
Pilots that need to be re-done to ship do not count. Our engagement completes when Monday morning runs through it unnoticed.
We configure our agentic platform to your workflow, adapt the solution to your operational reality, and iterate with your team until it runs end-to-end in production. End-to-end means through the exceptions, into your systems of record, with clean data landing where it needs to go via API, webhooks, or custom exports.
The platform is what makes this feasible at our pace. It speeds up implementation, enables more flexibility as your workflow shifts, and leaves you with something more robust than you could build from scratch.
Limai does not come in to replace your ERP, your BI stack, or your team. We plug into what you already have and remove documents as a bottleneck inside your stack. The rest of your operation, we leave alone.
- Working workflow running end-to-end in production
- Clean data flowing into your ERP, accounting, or system of record
- Monitoring, alerting, and escalation paths for exceptions
Leave your team AI-native, not AI-dependent
We do not want to be a black box you pay to understand. The engagement ends when your team can extend what we built without us.
We train your team on how the agents work, how to monitor them, how to correct them when they are wrong, and how to extend them to adjacent workflows. Playbooks, runbooks, and the kind of documentation that does not go stale the week after handover.
What begins as one workflow and one partner becomes in-house capability. We stay alongside for expansion, with regular metrics reviews tied to the success criteria set during discovery. We step back when your operation no longer needs us in the room.
- Training, playbooks, and runbooks for your team
- Regular metrics reviews tied to the agreed success criteria
- Expansion path into adjacent workflows once the first proves value
We commit to outcomes, not just numbers
These are reference points from customers in production. Your exact numbers will depend on your workflow. What we commit to is partnering with you through discovery, design, and delivery to make real, measurable impact happen on your operation.
Seen in production customers. Your number will depend on the workflow.
Verified weekly against ground truth in customer workflows, not promised on a slide.
Typical for a focused first workflow. Broader transformations compound from there.
A senior engineer who built the platform. No support queues, no handoffs. Every engagement.
Start with discovery. End with results.
Bring the workflow that frustrates you most. We will map it, price it, and tell you honestly whether this engagement model is the right fit.