AI for IT operations — fewer pages, shorter MTTR, calmer on-call rotas.
AI-driven observability, incident triage, root-cause analysis, and capacity forecasting — applied to your existing observability stack so SREs spend less time fighting fires and more time preventing them.
Capabilities under one accountable team.
Alert correlation & noise reduction
Cluster related alerts into a single actionable incident; suppress duplicates and known-noise patterns. Page only what humans need to see.
Root-cause analysis
Trace-aware RCA across microservices and dependencies. Surface the upstream service, query, or deployment that caused the incident.
Capacity & cost forecasting
Forecast CPU, memory, GPU, and cost weeks ahead. Catch capacity problems and budget overruns before they cause incidents.
Incident response automation
AI-suggested runbooks, automated remediation for repeatable incidents, and post-incident summaries written for the boss, not the bot.
Outcomes you can hold us to — by horizon.
Foundations
Outcome tree, baseline metrics, and a working pilot in production by day 90 — defensible with finance, signed off by risk.
Scale
Squad expansion across the next 2–3 value pools. Live-parallel cutovers. Capability uplift inside the client team.
Run & optimise
Managed run with named SLOs, quarterly value reviews, and a continuous-improvement budget reserved for innovation, not toil.
Five steps. One accountable team.
Assess
Observability stack audit, incident-pattern analysis, noise budget baseline.
Plug in
Connect to your stack — Datadog, Splunk, New Relic, Dynatrace, Grafana, Elastic — without replacing it.
Tune
Train on your incident history, calibrate thresholds, validate top-k alerts with on-call SREs.
Operate
Cut alert noise 60%+, MTTR 40%+. Incident reviews show measurable wins.
Continuous
Monthly tuning, quarterly retros, expansion to new services and SLOs.
Global airline cuts P1 incidents 41% and MTTR 58% by retiring 14 vendors and bringing in AIOps.
More programmes we have shipped.
AI underwriting
9 days → 14 minGCC sovereign bank deploys AI underwriting in 11 months
Read case studyLoan origination
14d → 3hNational bank ships modern Loan Origination System on Mendix in 11 months
Read case studyOpen banking
240+ TPPsLeading African bank ships open-banking rails across 7 markets
Read case studyThree commercial models. One outcome standard.
We avoid open-ended retainers. Every model names its outcome and its measurement window in the contract.
Fixed-price diagnostic
2–4 week engagement. Outcome tree, baseline metrics, prioritised value pools, and a board-ready 18-month roadmap. Stop-go decision in week 4.
Outcome-linked pilot
8–12 week engagement to ship one value pool, end-to-end, with a measurable KPI commitment. Joint squads with the client team. Live-parallel before cutover.
Programme + managed run
Multi-quarter scale-out with managed services on top. Quarterly value reviews. SLO-tied annual incentive. Capability transfer by design.
Frequently asked questions
Will you replace our existing observability stack? +
No. We sit on top of your existing tools — Datadog, Splunk, New Relic, Dynatrace, Grafana, Elastic. AIOps adds correlation, RCA, and forecasting; it doesn’t replace metrics or logs.
How long until alert noise drops? +
Median 90 days to a 60%+ reduction in actionable alert volume, depending on how representative the historical incident dataset is.
Do you do automated remediation? +
Yes — for repeatable runbook-able incidents, with an explicit allow-list and human approval for destructive actions. Audited.
How does AIOps integrate with our SRE practice? +
It enhances it. Alert clustering, RCA hints, and post-incident summaries reduce toil; the SRE team keeps ownership of SLOs and judgment calls.
Cost? +
Per managed service / per environment annually. Outcome-linked options available — we share the win on noise reduction and MTTR.
Pre-existing toolchain investments? +
Honoured. Most clients keep 80%+ of their existing observability spend; AIOps is incremental, not a forklift.
Book a aiops briefing.
A senior partner will respond within one business day with a tailored agenda.