From manual repetitive routines, to autonomous, secure business workflows.
We integrate specialized AI agents and controlled process automation directly into your core business systems – with complete auditability, deterministic rules, and human-in-the-loop control.
Why Standalone Chatbots Fail to Solve Operational Bottlenecks
Giving staff access to generic AI chatbots rarely creates systemic efficiency. Teams get stuck in manual copy-pasting, data silos remain untouched, and security risks emerge when company secrets are pasted into external tools.
Alegor Tech engineers specialized AI agents deeply integrated into your operational systems. We enforce a strict separation between analysis and execution: deterministic code runs first, LLMs handle unstructured interpretation, and sensitive actions require explicit human approval.
Generic AI vs Specialized Agents
Broad security perimeters, hallucinations on financial data, zero integration with operational ledgers, and unpredictable runaway token costs.
Narrow-scoped micro-agents with strict least-privilege roles. Read-only data access, rigorous source citations, and human approval queues for critical handoffs.
Real-World AI Automation Scenarios
We do not build speculative toys – we engineer hardened, measurable automations that reduce friction and eliminate manual bottlenecks.
Email & Inbox Automation
From overcrowded inboxes to actionable proposals
Email is the hub where invoices, client requests, contracts, and alarms arrive unordered. Our AI assistant classifies incoming mail, files newsletters, flags deadlines, and prepares action-ready next steps.
Finance & Invoicing Workflows
From invoice receipt to automated reconciliation
Financial operations demand 100% precision. AI acts as an intelligent verification layer between incoming documents and accounting ledgers, extracting amounts, dates, VAT, and matching against POs.
Smart Calendar & Meeting Intelligence
A calendar that actually helps plan realistic work
Standard calendars show start times but ignore travel buffers, prep work, and missing agendas. Our meeting assistant collates briefings beforehand and turns recordings into structured tasks.
Task Orchestration & Work Tracking
When Jira, Trello, and Todoist operate in harmony
When dev work is in Jira, executive tasks in Trello, and requests in Teams, clarity vanishes. We create a unified overview layer without destructive multi-way synchronization.
Automated Executive Briefings
The leadership summary generated while you sleep
Stop starting each workday clicking through 5 different dashboards. An automated briefing synthesizes financial KPIs, support escalations, project delays, and server metrics into a concise brief.
Intelligent Support & Helpdesk
Faster response times while preserving human empathy
Customer agents lose valuable time looking up contract terms, order histories, and troubleshooting steps. Our AI triage agent categorizes tickets and drafts verified solutions.
Document AI & Contract Analysis
Unlocking contracts without manual detective work
Critical renewal dates, penalties, and terms remain trapped inside unstructured PDFs. We make all documentation semantically searchable and connect clauses to automated alerts.
Operations & Incident Intelligence
From noisy alarms to actionable incident timelines
Monitoring tools produce huge log volumes but lack operational context. Our IT agent correlates container telemetry, error logs, and recent code deployments to pinpoint root causes.
Logistics, WMS & Telemetry
Total control over stock, waybills, and dispatch variances
Discrepancies between purchase orders, packing slips, and receiving receipts are often discovered too late. We unite ERP records with IoT sensor telemetry and document OCR.
Specialized Multi-Agent Swarms
A digital workforce of focused micro-agents
Monolithic AI bots with unrestricted data access pose grave security and financial risks. We engineer swarms of modular micro-agents communicating via structured schemas.
4 Pillars of Resilient AI Automation
Deploying AI into core business workflows demands strict boundaries, verifiable telemetry, and deterministic safeguards.
Least Privilege Security
Every agent operates strictly within minimal data scopes. Sensitive HR, payroll, and proprietary documents are isolated from public inference models.
Rules Before LLMs
Deterministic algorithms check data availability and handle routine filtering. LLMs are invoked only when nuanced semantic interpretation is required.
Human-in-the-Loop Gateways
AI synthesizes data and drafts outputs. Sensitive mutations, financial payouts, or client communications mandate explicit human confirmation.
Predictable Token Economics
Local caching, context optimization, and task-specific model routing keep ongoing inference costs minimal and predictable at scale.
AI that Connects Seamlessly into Your Existing Stack
You never need to discard existing software. Our automation pipelines communicate through official REST/GraphQL APIs, secure webhooks, and database adapters.
Whether your operations rely on Microsoft 365, Google Workspace, Fortnox, Visma, Jira, PostgreSQL, or proprietary legacy databases, we bind them into a cohesive ecosystem.
How We Implement AI Automation in Your Business
We begin with a focused, high-impact workflow where ROI is immediately measurable before expanding scope.
Automation Workshop & Scoping
We identify the 5 most time-consuming manual workflows across your organization and select the optimal pilot project.
Data Scoping & Governance
We define single sources of truth, enforce least-privilege API permissions, and configure GDPR-compliant data boundaries.
Deterministic Logic & Agents
We engineer baseline programmatic rules and integrate domain-specific LLM adapters for semantic interpretation.
Human-in-the-Loop Pilot
The system is deployed in advisory mode where team members review and approve drafted actions with one click.
Telemetry & Calibration
We track extraction accuracy, turnaround times, and token usage, calibrating rules to eliminate false positives.
Multi-Agent Expansion
Once initial ROI is proven, we scale out additional specialized agents (finance, customer support, logistics) across departments.
Frequently Asked Questions about AI Automation
Can the AI inadvertently email wrong information to clients or execute unverified payments?
No. We strictly enforce human-in-the-loop validation for all external and mutating operations. The AI prepares structured drafts and highlights discrepancies, but dispatch and payment executions mandate explicit staff confirmation.
How do you safeguard proprietary trade secrets and GDPR compliance?
We deploy strictly via enterprise-grade endpoints and EU-hosted infrastructure where customer data is never utilized for public model training. Furthermore, least-privilege scoping ensures each agent accesses only the exact data schema required.
Do we need to replace our current software platforms (e.g. M365, Fortnox, Jira)?
Not at all. We integrate directly on top of your existing software stack via secure REST and GraphQL APIs. Your team continues working in their familiar environments while manual repetitive busywork is automated behind the scenes.
How does this differ from employees using ChatGPT individually?
Consumer chatbots require continuous manual copy-pasting, prompt tinkering, and lack system access. Our specialized agents run autonomously in the background, bound to verified business logic and real database connections.
How long does it take to deploy an initial automation pilot?
A focused pilot (such as invoice validation, inbox triage, or daily executive briefings) is typically production-ready within 2 to 4 weeks following our initial workshop.
What are the ongoing inference and runtime costs?
Ongoing token expenses remain remarkably low because deterministic programmatic rules handle filtering before any LLM is called. We establish hard budget throttles to ensure transparent, predictable operating costs.
Ready to Automate Your Most Time-Consuming Workflows?
Book an exploratory automation workshop. Together we map your operational pipelines, isolate high-friction routines, and design an actionable AI automation roadmap.