SUEZWARE designs and deploys custom AI agents, scalable LLM infrastructure, and strategic AI roadmaps — so your organisation captures compounding efficiency gains while competitors are still evaluating pilots.
10×
Faster workflow automation
60 %
Avg. OPEX reduction via agents
< 8 wk
Time-to-first-agent in prod
Our Services
Whether you need a single autonomous agent or a full-stack AI transformation, SUEZWARE delivers production-grade solutions — not proof-of-concepts.
Our self-correcting, multi-step agents replace repetitive human-in-the-loop tasks — order processing, data reconciliation, customer escalation triage — cutting operational costs by an average of 60 % while improving accuracy.
From Retrieval-Augmented Generation (RAG) systems over your proprietary data to domain-specific fine-tuning and production-grade LLM API integration — we handle the full MLOps lifecycle.
Our AI-Readiness Audit maps your data landscape, process bottlenecks, and risk posture. You receive a prioritised 90-day roadmap with clear ROI milestones — not a generic slide deck.
Agent Architecture
SUEZWARE agents act as the connective tissue across your enterprise tooling — reading, writing, reasoning, and self-correcting across CRMs, ERPs, APIs, and communication platforms in real time.
LLM-powered reasoning engine with tool-calling, memory, and self-correction loops.
Salesforce · HubSpot
SAP · NetSuite
REST · GraphQL
Slack · Email · SMS
BigQuery · Snowflake
Zapier · n8n
Use Cases
These are representative deployments — not slide-ware. Every implementation ships with measurable KPIs agreed before kick-off.
Agent reads email attachments, extracts line items via LLM, validates against PO, and posts to ERP — zero human touch for 94 % of invoices.
Multi-step agent handles stock checks, payment retry, carrier selection, and proactive delivery notifications across 12 integrated platforms.
RAG-powered agent resolves 72 % of support tickets autonomously, escalating to humans only when confidence drops below threshold.
Agent enriches inbound leads with company data, competitor signals, and scoring — updates CRM and drafts personalised outreach in seconds.
LLM pipeline flags non-standard clauses, rates risk levels, and generates redline comments — reducing review time by 80 %.
Real-time agent monitors shipment events, predicts delays using weather & port data, and autonomously reroutes critical SKUs.
Book a Consultation
Every month without autonomous workflows is a month your competitors are gaining compounding efficiency. A 30-minute discovery call is all it takes to quantify your automation ROI.
~$12 k
Average monthly cost of manual data entry in a mid-size firm
4–6 mo
Typical enterprise AI project delay without a clear roadmap
3.5×
ROI multiple reported by firms deploying AI agents in year one