Document intake for accounts payable
- Supplier invoice arrives by email
- AI extracts supplier, lines and totals
- Rules match it to the purchase order
- Exceptions go to a person with context
- Approved invoice posts to accounting
AI solutions built into how your business works.
AI earns its place when it sits inside a real workflow, with the right data, permissions and people around it. VYSA builds AI into the architecture, not on top of it.
Signs the current setup is holding you back.
- “Someone re-types every supplier invoice, and we find the mistakes at month end.”
- “We ran an AI trial last year and nobody can say whether it worked.”
- “New staff ask the same three people where the policy lives.”
- “Half our inbox is customers asking where their order is.”
What it is
Most useful AI in business is unglamorous. It reads a document, drafts a reply, finds the right policy, flags an exception or prepares a forecast for someone to review.
VYSA designs AI-assisted workflows as part of your systems. Each one has a defined job, access only to the data it needs, a person accountable for the outcome and a way to measure whether it is working.
Where normal software automation does the job better, we use it. A clear rule is cheaper, faster and more predictable than a model. AI is reserved for the work that genuinely needs judgment over language, documents or patterns.
Problems it solves
Pilots that never reach production
A demo impressed people, but it was never connected to real systems, data or permissions.
Knowledge locked in documents
Answers exist in manuals, contracts and old emails, but finding them takes too long.
Manual data entry from documents
Invoices, forms and orders are read and re-typed by hand, with errors that surface later.
Service teams answering the same questions
Routine inquiries take time away from the conversations that need a person.
No way to trust the output
Without evaluation and review, nobody knows when the AI is right, wrong or guessing.
Example workflows
Customer service triage
- Inquiry arrives through web, email or chat
- Agent classifies intent and checks order status
- Routine answers drafted from approved knowledge
- Complex or sensitive cases escalate to staff
- Outcomes reviewed to improve responses
Internal knowledge assistant
- Staff ask a question in plain language
- Assistant searches only documents they may see
- Answer cites the source documents
- Gaps are logged for the knowledge owner
What VYSA might build
Internal copilots
Assistants inside your own systems that draft, summarize and look things up for staff.
Service agents
Customer-facing agents that handle routine inquiries and hand over cleanly to people.
Knowledge assistant
Search and answers across your documents, respecting who is allowed to see what.
Document intelligence
Extraction and classification for invoices, forms, contracts and orders.
Forecasting support
Demand and pipeline forecasts presented as inputs for people to review, not decisions.
Workflow agents
Bounded agents that complete defined steps inside a workflow, with approvals where it matters.
Operational alerts
Signals that flag exceptions, delays or unusual patterns to the person who can act.
Sales coaching
AI-powered practice for sales conversations. VYSA Coach is our own product in this space.
What we integrate rather than rebuild
Commodity problems already have excellent answers. We connect them to your system instead of rebuilding them.
Model providers
Established language model providers are used through their APIs, chosen per task for quality, cost and data terms.
Identity & permissions
Access follows your existing identity provider so AI only sees what the user could see.
Document storage
Content stays in your existing document systems and is indexed rather than copied around.
Speech & OCR
Transcription and optical character recognition use mature services where they are needed.
What changes day to day once it’s live.
Fewer documents typed by hand
Staff check extracted data and handle exceptions instead of keying every line.
Answers with a source attached
People can see which document an answer came from and decide whether to trust it.
A person on every risky decision
Approvals sit where a mistake would cost money or trust, and routine steps run on their own.
AI you can judge on evidence
Each workflow has test examples and review logs, so changes are measured rather than guessed at.
What you own at the end.
The prompts, workflows, evaluation sets and integration code that make your AI useful are part of what you own. The handover of code, data and infrastructure is defined in the project agreement, and model providers can be changed as the market moves.
AI systems need monitoring and improvement over time. VYSA Care can provide that, but it is optional. You should keep working with VYSA because the work is good, not because the system cannot run without us.
A typical rollout
- First: one document workflowWe start with a single high-volume task with clear right answers, such as invoice intake. Accuracy can be measured before anything else is built on it.
- Then: knowledge & draftingOnce data access and permissions are proven, staff get an assistant that searches approved documents and drafts replies with sources. A person still sends every message.
- Later: agents & forecastsCustomer-facing agents and forecasting come last, once the test sets and review habits exist to catch mistakes early.
Relevant industries
Related systems
Questions
Is our data used to train public models?
We select providers and configurations whose data terms suit your requirements, and design workflows so the model only receives the data each task needs.
How do we know the AI is giving good answers?
Each workflow is tested against real examples before launch and monitored after. People review outputs where mistakes would matter.
When is AI the wrong tool?
When a clear rule can do the job. Calculations, routing by fixed criteria and status updates are better handled by ordinary software automation.
Do you only build AI on top of systems you built?
No. AI-assisted workflows can connect to your existing systems through integrations, as long as the data and permissions are accessible.
Tell us how this part of the business runs today. We’ll show you what a better system looks like.
Bring the spreadsheets, the workarounds and the tools you rely on. We’ll map what a AI Solutions built around your operation would include, what to integrate and what to retire.