IMPLEMENTATION

Delivered in 90 days.
Trusted without a restart.

Most CMDB projects take 12–18 months and still produce data nobody trusts. Avennorth delivers a living, confidence-scored CMDB in 90 days — or we continue until it is done at no additional cost.

90days
First living CMDB
0credentials stored
Agent credentials are ephemeral — never persisted to disk
1named partner
Dedicated delivery contact throughout
refresh
Continuous — platform never stops discovering

DELIVERY TIMELINE

Four phases. One 90-day commitment.

Every phase has defined deliverables and measurable proof points. You always know where you are in the delivery.

Phase 1Week 1–3

Foundation

ServiceNow connectors live. Agents packaged and staging-validated. Audit chain active.

WHAT HAPPENS
  • 1Kickoff, environment scoping, and full endpoint OS inventory
  • 2ServiceNow CMDB connector deployment (patented integration layer)
  • 3CSDM schema alignment and CI class mapping
  • 4Agent package build — binaries compiled and signed for all target OS environments (Windows, Linux, macOS)
  • 5Agent staging deployment — agents pushed to isolated staging cohort, behavioral telemetry validated end-to-end before production rollout
  • 6Platform audit chain initialized and hash-chaining verified
PHASE DELIVERABLE

Platform connectors live. Agents tested, signed, and cleared for production deployment. Audit chain active.

Phase 2Week 4–10

Discovery

Agents deployed across production in cohorts. CIs observed, confidence-scored, and populating the CMDB continuously.

WHAT HAPPENS
  • 1Cohort 1 agent deployment — agents pushed to primary endpoint population via MDM/SCCM/Ansible; kernel-level eBPF/ETW behavioral telemetry active; first CI observations begin
  • 2Cohort 2 agent rollout — deployment expanded to secondary endpoint segments; telemetry coverage validated per cohort before proceeding
  • 3Cohort 3 + tail deployment — remaining in-scope hosts reached; agent coverage target 90%+ of manageable endpoints
  • 4Agentless passive observation active for network segments where agents cannot be deployed (network appliances, printers, unmanaged legacy hosts) — fills coverage gaps, does not replace agent signal
  • 5CI hypothesis convergence — agent-sourced and agentless signals merged into unified, deduplicated CI records; dual-mode confidence scoring calibrated
  • 6AI-narrated merge decisions reviewed and approved by client team; edge cases surfaced for human judgement
  • 7Bearing health scores initialized across first CI cohort; score baselines established
PHASE DELIVERABLE

Agent-based behavioral telemetry active across production. First trusted CI population with confidence scores and health dimension data. Merge queue live and reviewed.

Phase 3Week 11–13

CMDB Live

Living CMDB handed over. Service maps active. Continuous refresh running.

WHAT HAPPENS
  • 1Contour service dependency maps auto-generated from discovered CI relationships
  • 2Blast radius analysis validated against known change history
  • 3Vantage incident intelligence connected to live CMDB (Professional and above)
  • 4Compass executive personas configured for stakeholder group (Professional and above)
  • 5Full CMDB validation workshop with client team
  • 6Handover to continuous operation mode — platform runs without further PS involvement
PHASE DELIVERABLE

First quality, trusted CMDB. Living service maps. Continuous discovery active.

OngoingDay 91+

Continuous

Continuous discovery. CMDB stays current. Intelligence active.

WHAT HAPPENS
  • 1Pathfinder agents run on continuous cycle — every environmental change surfaces as a delta
  • 2Bearing rescores affected CIs automatically when agent-sourced signals change
  • 3Contour updates service maps in response to relationship changes
  • 4Vantage draws on current CMDB state for every P1 incident
  • 5Platform health monitoring and alerting managed by Avennorth
  • 6Quarterly confidence calibration review included in engagement
PHASE DELIVERABLE

A CMDB that stays trusted without manual effort.

MEASURABLE MILESTONES

Proof points, not progress reports.

Every milestone has a concrete proof — something you can see in ServiceNow, not a status update in a project tracker.

Day 1
Kickoff complete. Platform connector live.
First discovery event appears in ServiceNow CMDB.
Day 21
Agents packaged, signed, and staging-validated.
Agent binaries deployed to staging cohort. Behavioral telemetry confirmed flowing end-to-end. Production rollout cleared.
Day 35
Cohort 1 production deployment complete.
Agents live on primary endpoint population. First production CI observations in CMDB with confidence scores.
Day 60
Full agent coverage reached. Merge queue live.
90%+ of in-scope manageable endpoints reporting. Agent and agentless signals converging. AI-narrated merge decisions in review.
Day 75
Primary CI population complete.
80%+ of in-scope CIs discovered, scored, and in CMDB with health dimension data.
Day 90
Living CMDB handover.
Service maps active. All CIs confidence-scored. Continuous agent-based refresh running. Client sign-off on data quality.
Ongoing
Continuous operation.
Zero discovery restarts required. CMDB accuracy maintained by agents and the platform — not manual effort.

YOUR SIDE OF THE ENGAGEMENT

What you need to bring.

Minimal. Intentionally. The platform is designed to work with imperfect documentation and incomplete existing tooling — that is the starting point, not a blocker.

ServiceNow access

Admin or sub-admin credentials to the target ServiceNow instance. We will operate within the CSDM schema — no custom tables required.

Endpoint management access

Access to your MDM, SCCM, or Ansible environment to push agent packages to target endpoints. For segments where agents cannot be deployed, read access to the network segment is sufficient for passive agentless observation. No credentials are stored — agent authentication is ephemeral.

A named internal champion

One IT or ITSM lead who can attend weekly progress reviews, approve CI merge decisions, and validate CMDB scope against business requirements.

Environment documentation

Whatever network diagrams, CMDB exports, or architecture documentation you have — even if incomplete or out of date. We will validate against what we discover, not assume what you hand us.

SUPPORT MODEL

Included. Not an add-on.

Every tier includes the support model needed to make the delivery succeed. There is no Bronze/Silver/Gold support tier. Support is part of the engagement.

Dedicated delivery partner

You have a named Avennorth implementation partner throughout the 90-day engagement. One person, one point of contact, one accountability.

Weekly progress reviews

30-minute structured reviews covering: CIs discovered this week, confidence scores, merge decisions awaiting approval, any environment anomalies flagged by Pathfinder.

Merge decision transparency

Every AI-narrated CI merge decision is surfaced for client review before it is committed to the CMDB. You see the evidence, the confidence score, and the assumed facts — not just the outcome.

Post-handover support

Platform health monitoring included for all tiers post-handover. SLA-backed response times for platform issues. Quarterly confidence calibration review included in the engagement.

WHY THIS IS DIFFERENT

The root cause of every failed CMDB project.

TRADITIONAL APPROACH
Discovery runs once
A snapshot is taken, loaded, and immediately begins to drift.
No agent strategy
Agentless scan only — shallow telemetry, no behavioral signal, low data confidence.
Manual service mapping
Diagrams are created during implementation and never updated.
Trust degrades quickly
Data quality drops. Teams stop relying on the CMDB. It becomes a compliance artefact, not an operational asset.
Re-implementation cycle
12–18 months and $500K+ later, the project starts again.
AVENNORTH APPROACH
Agent-first behavioral telemetry
Pathfinder agents deployed in cohorts deliver kernel-level eBPF/ETW signals — the richest possible discovery source. Agentless fills the gaps for endpoints that cannot take agents.
Staged agent rollout with validation gates
Agents are packaged, signed, and staging-validated before production deployment. Each cohort is confirmed before the next rolls out.
Auto-generated service maps
Contour builds service maps from discovered relationships — updated automatically when relationships change.
Confidence scoring maintains trust
Agent-sourced signals produce far higher confidence bands than agentless alone. Trust scores reflect signal richness, not just presence.
90-day delivery, not 18-month project
The platform is operational before you could finish scoping a traditional CMDB project.

AT A GLANCE

90 days vs. 18 months.

A traditional CMDB implementation—including service mapping—takes 12 to 18 months and still delivers data that is already drifting. Avennorth hands over a trusted, continuously-refreshing CMDB with auto-generated service maps at Day 90.

TRADITIONALAVENNORTHScopingDiscovery Tool SetupDiscovery Runs + Data CleanupService Mapping ProjectDiscoveryContinuous — agents run indefinitelyFNDLIVEDAY 90← traditional: mid tool-setupoften restarted →03mo6mo9mo12mo15mo18mo+TIME FROM PROJECT START
Foundation
Discovery
CMDB Live + Service Maps
Continuous
Day 90 — Avennorth handover

OPERATIONAL OVERHEAD

Maintenance that runs itself.

Traditional CMDB implementations require constant human effort just to stay current. Avennorth replaces that burden with continuous agent telemetry, auto confidence scoring, and self-updating service maps.

TRADITIONALAVENNORTHDiscovery12 manual triggers / yearcontinuouszero human triggersData quality4 cleanup sprints + ongoing manual reviewauto confidence scoringzero cleanup requiredService mapsad-hoc manual updates on every environment changeContour auto-generateszero manual update requiredReconciliation4 quarterly reconciliation audits / yearedge cases only — platform surfaces themRe-implementfull restart every 2–3 years — 12+ months, $500K+platform never needs to restart
TRADITIONAL
~1,500hrs / year
  • Discovery scheduling, monitoring & troubleshooting
  • Quarterly data cleanup sprints (2 people × 5 days × 4)
  • Ad-hoc service map updates on every environment change
  • Quarterly CMDB reconciliation audits
  • Credential rotation, audit & management
37×LESS OVERHEAD
AVENNORTH
~40hrs / year
  • 4 quarterly calibration reviews (~1 hr each, included in engagement)
  • Edge-case CI merge review as flagged by the platform
  • All discovery, cleanup, service maps, and reconciliation automated

Estimate based on a medium enterprise of 5,000–10,000 managed endpoints. Traditional figure covers discovery management, quarterly cleanup sprints, ad-hoc service map upkeep, and quarterly reconciliation — approximately 0.7 FTE of ongoing effort. Does not include the 12–18 month re-implementation cycle that typically recurs every 2–3 years and adds a further 4,000–6,000 hrs per incident.

90 days to a CMDB your team trusts.

Book a scoping call and we will walk through what your specific environment looks like in each phase — with expected CI counts, confidence score projections, and a milestone schedule.