PARSVIA

Emerging Technologies

Intelligence integrated into real business processes.

AI is useful when it reads the same sources your teams already use — and then takes an action that would otherwise wait on a person.

We design assistants, agents and workflow automation that connect CRM, documents, email, ERP and support. Not a chatbot on a blank page.

Data
Model
Action
Classify document
Summarize thread
Route request

AI assistants

AI agents

LLM integration

Document intelligence

Service overview

What is Intelligence integrated into real business processes.?

AI & automation at PARSVIA means systems that classify, extract, retrieve and act — with a human still in control of the decisions that matter.

Businesses need it when skilled people spend their days copying between tools, searching documents, or routing work that a well-designed process could handle.

We connect models to your sources, define the actions they are allowed to take, and put the result back into CRM, tickets, reports or notifications.

The value is time returned to judgement: fewer repetitive steps, faster first drafts, and a clearer view of what needs attention.

  • AI assistants
  • AI agents
  • LLM integration

Scope

What we deliver

Operations assistants

Ask a question across orders, CRM and documents; get a next step, not a paragraph.

Document processing

Extract, classify and file contracts, invoices and requests.

Knowledge search

Answers grounded in your policies, products and history — with sources.

Agents

Multi-step work: qualify, create a record, notify, follow up.

Workflow automation

Lead routing, approvals, reporting and the paths that currently live in inboxes.

Support assistance

Draft replies and retrieve context; agents stay accountable for the send.

Delivery model

How we work

  1. 01

    Discover

    Where time is lost, which systems hold truth, and which actions are allowed.

  2. 02

    Define

    Sources, policies, evaluation and the first workflow worth automating.

  3. 03

    Design

    The assistant or agent experience, plus the human review path.

  4. 04

    Build

    Integrations, prompts, tools, logging and access control.

  5. 05

    Test

    Real documents, real edge cases, hallucination and permission checks.

  6. 06

    Launch & improve

    Monitor quality, tighten tools, and expand to the next process.

System architecture

Example system architecture

We design a controlled stack from user interfaces through API, backend and data layers, with CRM, ERP, payments and third-party services connected where they belong.

Experience layer
Application & API
Data & integrations
Analytics
Third-party APIs
Operations tools
CRM / ERP
Payments
Identity

Capabilities

Technologies we use

  • TypeScript
  • PostgreSQL
  • LLM APIs
  • Authentication
  • Cloud
  • Python
  • OpenAI
  • Node.js

Our approach

Why PARSVIA

AI & automation at PARSVIA means systems that classify, extract, retrieve and act — with a human still in control of the decisions that matter.

Process before model

We start from the work, then choose the model and the tools.

Grounded in your systems

CRM, ERP, files and email — not a generic knowledge dump.

Actions, not theatre

Create the record, update the deal, notify the team. That is the product.

Governed by default

Logs, permissions and a path for a person to override.

Outcomes

What this delivers for your business

Less manual copying between tools

Operational clarity and fewer manual steps across teams and systems.

Faster first response on routine work

Operational clarity and fewer manual steps across teams and systems.

Search that uses company knowledge

Operational clarity and fewer manual steps across teams and systems.

Automation that operations can trust

Operational clarity and fewer manual steps across teams and systems.

Use cases

Where this service fits

Operations assistants

Ask a question across orders, CRM and documents; get a next step, not a paragraph.

Document processing

Extract, classify and file contracts, invoices and requests.

Knowledge search

Answers grounded in your policies, products and history — with sources.

Agents

Multi-step work: qualify, create a record, notify, follow up.

Workflow automation

Lead routing, approvals, reporting and the paths that currently live in inboxes.

Support assistance

Draft replies and retrieve context; agents stay accountable for the send.

FAQ

Questions teams usually ask

Do you build chatbots?+

We build assistants connected to business systems. A chat UI is sometimes the right surface; often the value is in the workflow behind it.

Can this work with our CRM and ERP?+

Yes. That is usually the point — sources in, actions out, with permissions respected.

How do you handle accuracy?+

Retrieval from your data, constrained tools, evaluation on real cases, and human review where the cost of error is high.

Is this a replacement for staff?+

It is a way to remove repetitive work so people spend time on exceptions, customers and decisions.

Can we start with one process?+

That is the preferred path. One workflow, measured, then the next.

Let's put intelligence where the work already is.

Tell us which process is slow, repetitive, or trapped in documents and inboxes.