Deploying AI is only half the battle. Models drift, APIs change, costs creep up. Our AI-OPS team monitors, maintains, and optimizes your entire AI infrastructure — so your automations never sleep.
Always watching · never sleeps
Most AI deployments we audit have the same picture: agents that worked at launch are quietly degrading, vendor pricing has doubled without anyone noticing, model versions are deprecated and replaced silently, and there's no observability into what the agent is actually doing day-to-day. AI-OPS is the discipline of running AI in production — monitoring, tuning, cost control, model upgrades, incident response. It's what stops your live AI from becoming a hidden liability.
Think of us as the SRE team for your AI footprint. We watch, we tune, we on-call, we reduce cost — and we keep you EU AI Act-aligned in the process.
Live dashboards, alerts, on-call rotation. Latency, error rate, drift, hallucination rate, cost per request — all watched and alarmed on.
Per-agent cost tracking, model right-sizing, prompt compression, caching. Typical 20–40% reduction on inference spend in the first 60 days.
When OpenAI deprecates a model or Anthropic ships Claude 5, we version, test, and migrate without your team noticing. Backward-compatible by design.
On-call team for AI incidents — hallucinations, runaway costs, vendor outages, prompt injection. SLAs from acknowledgment to mitigation.
Every agent decision logged, queryable, exportable. Mandatory for EU AI Act high-risk systems; convenient for everyone else.
Prompt evolution, RAG corpus refresh, evaluation harness, A/B testing of model choices. Quality goes up over time, not down.
AI in production fails in specific, repeatable ways. Our monitoring stack watches for each of them — and most importantly, alarms early enough that we can fix it before your team notices.
Output quality degrades silently as data, prompts, or models change.
Continuous evaluation harness with golden datasets; alarm on quality regression > 5%.
A loop, a long-context query, or vendor pricing change blows the inference budget.
Per-agent cost dashboards with anomaly detection and hard daily caps.
User-facing AI slows from 2s to 12s as upstream providers throttle or queues build.
P50/P95/P99 latency tracking with multi-provider failover.
OpenAI / Anthropic / Google have outages. Your AI breaks. Your team finds out from users.
Vendor health monitoring with automatic failover paths and customer-facing fallback messaging.
Hallucinations creep in as the corpus drifts or prompts erode over time.
Sampled output evaluation with hallucination detection model + human review for high-risk classes.
Adversarial inputs from external users try to break or extract from your agent.
Pattern detection at prompt boundary; quarantine, log, and alert on suspected attempts.
Each signal is wired to a specific runbook with a known fix. We don't just alarm — we resolve.
We take over operations on existing AI deployments fast. No re-platforming required.
We map every AI system in your stack, plug in monitoring, and identify the top 3 risks (cost, quality, security).
Per-agent runbooks, alarm thresholds, on-call rotation, escalation paths to your team.
24/7 monitoring, weekly cost reports, monthly tuning reviews, model upgrade migrations as they come.
Quarterly review with your leadership: cost trends, quality trends, vendor performance, model strategy, EU AI Act compliance status.
Cost down, quality up, no late-night Slack messages about a broken agent.
AI-OPS is most valuable when you have agents in production — usually delivered by Automation, governed by Governance.
Custom AI agents and orchestrated workflows that take over repetitive, error-prone tasks. 150+ deployments, 40% average cost reduction.
EU AI Act-aligned policies, AI risk register, model lineage, and board-level oversight for Bulgarian and EU enterprises.
AI for product discovery, personalization, customer support, content generation, and order ops — for Bulgarian and EU online retailers.
Book a free 30-minute scoping call. We'll review your live AI footprint, identify the top 3 risks, and propose an AI-OPS scope that pays for itself.
No sales pressure · Free 30-min consultation · Bilingual delivery (EN/BG)