GENERIC (What every vendor says):
Protocloud Difference:
Generic pre-built models 
Trained on YOUR data 
Entry-level AIOps platforms (core monitoring + alert correlation) start from $5,000–$10,000. Mid-complexity platforms with AI anomaly detection, automated runbooks, and ITSM integration range from $20,000–$60,000. Enterprise-grade AIOps with custom ML models, multi-cloud support, and full observability stack range from $60,000–$120,000+. AI model development add-ons are $1,500–$8,000 depending on complexity. We provide a fixed quote after your free strategy session – no surprises.
Our standard delivery timeline is 8 weeks for core AIOps capabilities. Enterprise platforms with complex integrations take 12–16 weeks. We use a phased delivery model – you start seeing value from week 4 as the first modules go live, not at the end of the project.
No. Our AIOps platform is built to extend and enhance your existing tools – not replace them. We build an AI correlation and intelligence layer on top of your current stack. You keep your existing investments; we add the AI brain that connects and makes sense of all the data.
In controlled environments with clean historical data, our models achieve 88–94% detection accuracy. In real-world deployments, we target 80%+ accuracy as our go-live threshold. Models are continuously retrained on your live data post-deployment – improving in accuracy week over week.
Yes – we specialize in non-disruptive AIOps adoption. We typically run our platform in parallel with your existing tools for 2–4 weeks before cutover, ensuring full validation with zero operational risk. Your team continues operating as usual during the transition.
Fixed price – quoted before development starts. Fixed timeline – contractual milestones. Performance benchmarks – alert noise reduction and MTTR improvement targets defined upfront. 90-day post-launch warranty – bugs and scope items fixed at no charge. 100% source code ownership – from the first line of code. 3 months free post-launch support – no retainer required.
If you’re managing 50+ servers or cloud resources, processing 1,000+ alerts/week, or have experienced even one significant outage in the past year – yes. The ROI is typically realized within 3–6 months through reduced downtime, lower cloud costs, and eliminated headcount for manual monitoring tasks.
Guarantee: We’ll provide a documented ROI projection before you commit to any budget. If the numbers don’t make sense for your situation, we’ll tell you directly.
We use fixed-timeline Agile sprints with weekly progress reports. Every project has a defined go-live date agreed before development starts. If we miss a milestone due to our team, we add sprint capacity at no additional cost.
Guarantee: Signed timeline in your contract. Zero cost for Protocloud-caused delays.
AI models are tuned and validated against your actual environment data before go-live. We target specific performance benchmarks (e.g., 80%+ alert noise reduction) and won’t go live until they’re met. Post-launch, models are continuously retrained on new data.
Guarantee: Performance benchmarks defined in your contract. 30-day model tuning period included post-launch.
You review and approve every major design decision before development begins. We use an iterative prototype review process – unlimited revisions at the design stage before any code is written.
Guarantee: No development starts until you’ve approved the architecture and design. 100% satisfaction before build.
3 months of post-launch support is included. During this period, we fix any bugs, tune any underperforming AI models, and add any missing functionality that was part of the original scope – at zero additional cost.
Guarantee: 90-day post-launch warranty. If it’s in scope and not working, we fix it free.
