Alteria LOGIC

Services

Services, in the order we deliver them

We start with an audit, then set up data exchange between your systems, bring the data to a single standard — and only then connect AI agents. Not every company needs every step: the audit shows which ones you need. Each service has a defined result, format and timeline.

Step 1 · Audit

System and Process Audit

We map the systems you use, where your data lives and where the processes break, and show where time and money are really lost. You receive a target architecture and a project estimate you can plan a budget against.

  • A map of your systems, data flows and processes
  • The places where data is duplicated, contradictory or typed by hand
  • The processes where automation pays off first, ranked
  • Target architecture: what is connected, what is read, what is written and through which interface
  • A project estimate as a range, with the assumptions behind it

Step 2 · Data exchange

Automated Data Exchange Between Systems

We replace manual re-entry between CRM, ERP, accounting and spreadsheets with reliable automatic exchange. This is the route along which data later reaches the AI and the results return.

  • Matching of fields between the two systems
  • Rules for resolving conflicts, and a queue for a person where the rules are not enough
  • Safe repeated runs: running the exchange again never creates duplicate records
  • A screen showing what disagrees right now and since when
  • Alerts when one of the systems changes its structure

Step 3 · Single source of data

A Single Source of Trusted Data

We bring your data to one standard: remove duplicates and contradictions and define which system is the master for each type of data. People and AI then work from the same version of the truth.

  • A data standard: dictionaries, formats and required fields
  • Cleaning of duplicates and conflicting records
  • The master system defined for each type of data
  • Rules that keep the data consistent after the cleaning
  • Access rights: who and what may read and change which data

Step 4 · AI implementation

AI Agent for Document Processing

Contracts, invoices and specifications turn into records in your system. The agent finds the fields, checks them against your regulations and points to the page of the document each value came from.

  • Extraction of fields for your document types
  • Checking against your business rules before anything is recorded
  • A review queue for everything the agent is not sure about
  • Recording into your ERP or CRM through an approved interface
  • A full record for each value: source page, extracted value, who approved it
Format
Pilot, then rollout
Timeline
4–8 weeks to pilot

Step 4 · AI implementation

AI Agent for ERP Reporting

Ask your system a question in plain language and get a figure from live data — together with the query that produced it. Recurring reports arrive on schedule where your team already works.

  • Questions in plain language over your real data structure
  • Recurring reports delivered to Teams, Slack or email on schedule
  • Each answer shows the query and the period of data it used
  • Access to data follows the rights your people already have
  • Read-only by default: the agent cannot change anything in your ERP
Format
Pilot, then ongoing support
Timeline
3–6 weeks to pilot

Additional direction

Websites with Built-in AI

Websites that do operational work from day one: an AI consultant that answers from your knowledge base, intelligent support with handover to a person, and agents that research, draft and schedule content for your approval.

  • AI consultant that answers from your knowledge base and passes difficult questions to a person
  • Intelligent support: sorts requests, closes the routine ones and passes the rest on with full context
  • Copywriter agents: study the market and sources on a schedule and prepare drafts of cases and articles — published only after your approval
  • AI design assistant: shows how a room, a product or a territory would look in a different design
  • A personal page for each visitor, such as a brochure generated from what that person viewed on the site
  • Qualification of requests and routing into your CRM

Security and support

Private Gateway to AI Models

One controlled entry point between your company and cloud AI models: personal data is hidden before sending, every team has its own limits, and every request is recorded.

  • One gateway for every cloud AI model your company uses
  • Personal data is replaced with placeholders before a request leaves your network and restored after the answer
  • Limits and cost reporting for each team
  • A full record of requests and answers, kept for as long as you decide
  • Switching the model provider without changing the systems that use it
Format
Infrastructure project
Timeline
4–6 weeks (closed network: assessed separately)

Security and support

Support for AI Agents

After the pilot works, someone has to keep it working when the ERP is updated and the process changes. We take that responsibility.

  • Regular accuracy checks against a fixed set of test cases
  • Updating models and instructions without losing quality
  • Incident response with an agreed reaction time
  • A monthly report: what was automated, what was passed to people, what changed
  • Adding new processes on the same foundation

Not sure where to start?

Describe the process you want to improve. The configurator will suggest the services you need, estimate the time and point out what may complicate the project. The first step, the audit, is the shortest.