AI Ops: Running AI Systems in Production
encorp.ai runs the AI agents and automations of companies in Bulgaria and the EU after go-live — 24/7 monitoring, cost control, model changes and incident response. AI Ops is the last step on the Encorp AIM path and continues phase 3 — implementation with fine-tuning.
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
| Who it is for | Companies with AI agents and automations in production |
|---|---|
| Monitoring | 24/7 — quality, cost, response time |
| Severity-1 incident | Acknowledgement within 15 minutes, mitigation starts within 1 hour |
| Price | Monthly retainer by number of agents and service level; on request |
| Encorp AIM phase | The last step, after phase 3 — implementation with fine-tuning |
What does AI Ops include?
AI Ops covers monitoring, tuning and incident response once AI agents and automations are in real work. We track answer quality, cost per agent, response time and attempts to manipulate the models. When something drifts we act: we acknowledge a severity-1 incident within 15 minutes and start mitigation within an hour. Every month you receive a report on how the agents performed and what they cost.
AI systems change even when the company does nothing: providers release new models and retire old ones, prices change and data shifts. That is why AI Ops also covers model changes, cost optimisation and regular reports. We work together with AI governance and the EU AI Act so every system has a full audit trail.
How does AI Ops connect to Encorp AIM?
AI Ops is the last step on the Encorp AIM path: free AI readiness test → AI training → AI Strategy Sprint → AIM package (3 / 6 / 12 months) → automations → AI Ops. It continues phase 3 — implementation with fine-tuning — once the automations are live and delivering results.
Agents built under AI business process automation move to AI Ops to keep their quality and cost over time. Within an AIM package, AI Ops is one of the modular components with its own price and is led by an AI Director. The phases are described on AI transformation for companies · the Encorp AIM method, and the obligations for companies in the guide AI literacy under Article 4 of the EU AI Act.
Deploying AI is half the battle. The other half is silent: models drift, APIs change, costs creep up — and nobody notices until something explodes.
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.
Everything that keeps your AI safe, fast, and cheap in production
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.
24/7 monitoring
Live dashboards, alerts, on-call rotation. Latency, error rate, drift, hallucination rate, cost per request — all watched and alarmed on.
Cost optimization
Per-agent cost tracking, model right-sizing, prompt compression, caching.
Model upgrades & versioning
When OpenAI deprecates a model or Anthropic ships Claude 5, we version, test, and migrate without your team noticing. Backward-compatible by design.
Incident response
On-call team for AI incidents — hallucinations, runaway costs, vendor outages, prompt injection. SLAs from acknowledgment to mitigation.
Audit trail & evidence
Every agent decision logged, queryable, exportable. Mandatory for EU AI Act high-risk systems; convenient for everyone else.
Continuous tuning
Prompt evolution, RAG corpus refresh, evaluation harness, A/B testing of model choices. Quality goes up over time, not down.
The signals that catch problems before they reach your customers
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.
Quality drift
Output quality degrades silently as data, prompts, or models change.
Continuous evaluation harness with golden datasets; alarm on quality regression > 5%.
Cost spikes
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.
Latency degradation
User-facing AI slows from 2s to 12s as upstream providers throttle or queues build.
P50/P95/P99 latency tracking with multi-provider failover.
Vendor incidents
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.
Hallucination rate
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.
Prompt injection attempts
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.
From your agent to managed in 2 weeks
We take over operations on existing AI deployments fast. No re-platforming required.
Audit & instrumentation
We map every AI system in your stack, plug in monitoring, and identify the top 3 risks (cost, quality, security).
- AI infrastructure map
- Monitoring stack live
- Top-3 risk report
Runbook & on-call setup
Per-agent runbooks, alarm thresholds, on-call rotation, escalation paths to your team.
- Per-agent runbooks
- Alarm thresholds set
- On-call rotation live
Steady-state operations
24/7 monitoring, weekly cost reports, monthly tuning reviews, model upgrade migrations as they come.
- Weekly cost reports
- Monthly tuning reviews
- Model upgrade execution
Strategy review
Quarterly review with your leadership: cost trends, quality trends, vendor performance, model strategy, EU AI Act compliance status.
- Quarterly cost + quality report
- Vendor performance review
- EU AI Act compliance update
What "managed" actually delivers
Cost down, quality up, no late-night Slack messages about a broken agent.
Managed AI estates
BG and EU clients with live AI systems under our 24/7 management.
Econt
Implemented a custom AI agent for Econt, the leading logistics provider in Bulgaria, to automate customer support.
vivacom
Vivacom is one of the leading telecommunications companies in Bulgaria, offering a full range of services including mobile, fixed-line, internet, and digital television. As part of the United Group, Vivacom is recognized for its innovation, reliable network infrastructure, and customer-centric approach. The company serves millions of residential and business clients, delivering high-speed connectivity, advanced telecom solutions, and cutting-edge digital services across the country. With a strong focus on digital transformation, 5G technology, and smart business solutions, Vivacom continues to play a key role in shaping the future of Bulgaria’s telecom sector.
Forbes Bulgaria
Delivered AI-focused educational trainings for Forbes Bulgaria to empower business leaders with practical knowledge.
Pair AI-OPS with
AI-OPS is most valuable when you have agents in production — usually delivered by Automation, governed by Governance.
AI Automation
Custom AI agents and orchestrated workflows that take over repetitive, error-prone tasks.
AI Governance
EU AI Act-aligned policies, AI risk register, model lineage, and board-level oversight for Bulgarian and EU enterprises.
E-commerce
AI for product discovery, personalization, customer support, content generation, and order ops — for Bulgarian and EU online retailers.
Writing on AI operations
Cost optimization, model migrations, incident post-mortems, monitoring patterns.
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AI-OPS — common questions
What's the difference between AI-OPS and DevOps?
Do you only manage agents you built?
How do you reduce cost?
How fast do you respond to incidents?
Can you operate on our infrastructure?
What does it cost?
Do you handle EU AI Act audit prep?
Will you train our team to take this in-house eventually?
Stop discovering AI failures from your customers.
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)