Solutions
Four workflows that quietly consume the week.
Buyers rarely arrive asking for an AI workflow. They arrive with a symptom: hours lost, documents waiting, answers missing, tools disconnected. This page maps the symptom to the smallest useful engagement.
How to use this page
Find the row that sounds like your situation. Each path links to the service that does the work and, where there is one, a case study that shows the evidence. If two paths apply, start with the one that is costing the most hours.
| Situation | Likely cause | Start here |
|---|---|---|
| Your team is losing hours to work software should do | Time and throughput | Measure the hours → |
| The answer exists. Finding it takes too long. | Knowledge and support | Scope the assistant → |
| Every document waits for a person to read it | Documents and inboxes | Audit the documents → |
| Your tools do not talk to each other | Integrations and handoffs | Map the integration → |
01 / Time and throughput
Your team is losing hours to work software should do
The same copy-paste, status update and data entry happens in every role. Nobody can point to the hours because they are spread across a dozen small tasks.
What changes
- A measured baseline: hours per week and cost per item.
- One automated workflow connected to your existing tools.
- A visible exception queue instead of hidden failures.
- A before/after report and a runbook your team can own.
- A recommendation to simplify or stop if the automation is not worth it.
Signs this is you
- People copy data between a form, a sheet, an inbox and a CRM.
- Approvals sit in someone’s inbox and nobody can see the queue.
- The process works only because one person remembers the exceptions.
- You have tried a no-code automation and it broke silently.
The short answer
Repetitive admin is a workflow problem before it is an AI problem. I map one workflow, measure the hours and the exceptions, then automate the repeatable steps and route the exceptions to a person. The result is measured against the old process, not against a vendor demo.
An agentic workflow that deploys a repository to local, Docker or Azure
02 / Knowledge and support
The answer exists. Finding it takes too long.
The policy is in a PDF, the precedent is in a ticket, and the person who knows is in a meeting. New joiners ask the same questions for weeks.
What changes
- Answers with citations to the source document or ticket.
- Permissions tied to the source collection.
- An evaluation set of real questions and a pass/fail rubric.
- A feedback loop for wrong or missing answers.
- A runbook for adding and removing sources.
Signs this is you
- Support answers the same question every week.
- Onboarding depends on one experienced person.
- The intranet search returns old or irrelevant pages.
- A previous chatbot gave confident answers with no source.
The short answer
I build an internal assistant over your own documents and tickets. It shows its sources, respects permissions and is evaluated on real questions before launch. It is not a general chatbot; it is a search-and-answer layer for the knowledge you already have.
An internal AI assistant for a US pediatric hospital
03 / Documents and inboxes
Every document waits for a person to read it
Invoices, contracts, forms and attachments arrive in different formats. Someone opens each one, types the same fields into another system and chases the missing ones by email.
What changes
- A field schema and validation rules per document type.
- Classification and extraction with confidence scores.
- Routing into the system of record or a structured export.
- A review queue for uncertain or invalid items.
- A measured manual-touch rate before and after.
Signs this is you
- The same fields are typed from a PDF into another system.
- Documents are waiting in an inbox with no visible queue.
- Exceptions are handled by the most experienced person.
- Nobody can trace what was extracted before a record was changed.
The short answer
I build a pipeline that classifies each item, extracts the fields, validates them against your rules and routes the result. Low-confidence cases go to a review queue. The output is structured data and an audit trail, not a chat response.
04 / Integrations and handoffs
Your tools do not talk to each other
The CRM, the helpdesk, the ERP and the spreadsheet each hold part of the truth. The integration is a person copying between tabs, or a script nobody owns.
What changes
- An integration design with systems, data flow and permissions.
- Authentication, validation and an idempotent write-back.
- Retries, timeouts and a visible failure path.
- Structured logs and alerts.
- A runbook and a handover session.
Signs this is you
- The AI sits in a separate tab from the system of record.
- The integration is a script on someone’s laptop.
- Nobody knows which system is authoritative.
- An API change broke a workflow without an alert.
The short answer
I build the integration layer: an API or webhook that sends the right context to the model, validates the response, writes the result back and logs what happened. Your team keeps its tools; the AI becomes a step inside them.
A private agent platform with tools on NVIDIA DGX Spark
Questions
Before you pick a path.
The three questions that usually decide whether an audit, a sprint or a deployment is the right first step.
What can you automate with AI?
The best candidates are repetitive, high-volume steps with a clear input and output: document and invoice processing, inbox triage, data entry between systems, internal question answering, report generation and first-line support. The work is to find the exceptions before automating the happy path.
How do you decide what is worth automating?
Volume, handling time and exception rate decide it. A task that takes five minutes but happens twice a month is usually not worth an integration. A task that takes two minutes and happens 2,000 times a month is a different business case. The audit puts those numbers on one page.
Do we need to replace our current tools?
No. The workflow is built around the systems you already use, through an API, webhook or structured export. Replacing a working tool is usually a bigger project than automating the step around it.
Next step
Not sure which of the four is yours?
Send one workflow, who does it and how often. I will point you to the smallest engagement that can move it, or tell you that the automation is not worth it.
Prefer email? boroicamarius01@gmail.com