AI Consulting Services

Client-facing AI systems built for measurable business outcomes

Explore completed implementation patterns across lead operations, support performance, project execution, lifecycle nurture, and custom-built workflows tailored to your business.

$150/hr advisory + implementation
4–8 week sprints with defined milestones
Customer-ready dashboards and handoff
↓ 42%response lag reduction
↑ 18%lead conversion lift
↑ 24%SLA adherence improvement
↓ 31%launch rework reduction

Lead Intake System

Unified capture, qualification, routing, and conversion visibility.

Revenue Operations
Process Flow — Lead Intake
1CaptureUnified inbound leads from web, referral, and paid channels.
2NormalizeStandardized fields, source tags, and priority metadata.
3QualifyApplied fit scoring using need, budget, and urgency.
4RouteAuto-assigned owner with SLA timers and fallback logic.
5EngageTriggered response + booking pathway by segment.
6OptimizeWeekly calibration using conversion and response outcomes.
  • Outcome: faster first response + better qualification consistency.
  • Control: SLA breach alerts and routing guardrails.
Northstar Roofing Group Lead Intake Performance Dashboard
View: All • Last 7 Days
128New Leads
1.9hAvg Response
36%Book Rate
+12%Gain vs Prior
Source Volume
Stage Conversion
SLA Bands
Booked Trend
Regional Pipeline Map
Recommended AI Action

Prioritize web leads with response-time risk > 90 minutes and auto-create callback tasks for top-fit accounts.

Support Triage System

Prioritization, escalation discipline, and SLA protection at scale.

Customer Operations
Process Flow — Support Triage
1IngestUnified intake across channels with timestamp integrity.
2ClassifyTagged type, severity, and probable root cause.
3Auto-ResolveApplied known-fix flows for repeat low-complexity issues.
4EscalateRouted high-impact incidents to the right owner quickly.
5CommunicateTriggered customer updates by severity cadence.
6LearnFed recurring patterns into automation backlog.
  • Outcome: improved FCR and lower backlog volatility.
  • Control: severity model + closure QA standards.
Bluewave Home Services Support Triage Dashboard
View: All • Last 7 Days
412Total Tickets
63%FCR
91%SLA Hit
+9%Gain vs Prior
Severity Mix
Root Cause Mix
Resolution Channel
SLA Risk Curve
Queue by Team
Aging Distribution
Recommended AI Action

Auto-escalate high-risk tickets predicted to miss SLA and trigger proactive customer update workflows.

Project Delivery System

Milestone governance, dependency visibility, and launch confidence.

Execution Management
Process Flow — Project Delivery
1Define ScopeAligned goals, constraints, and acceptance criteria.
2Sequence WorkBuilt owner-based milestones and dependencies.
3IterateExecuted with checkpoints and stakeholder demos.
4Quality GatesValidated functional and edge-case readiness.
5LaunchReleased with rollback protocol and ownership model.
6HandoffTransferred dashboards, runbooks, and cadence.
  • Outcome: fewer late-cycle surprises, stronger launch reliability.
  • Control: milestone health + risk thresholds.
Summit Field Logistics Project Delivery Dashboard
View: All Workstreams • Last 7 Days
22Planned Tasks
17Completed
89%Milestone Health
+15%Gain vs Baseline
Delivery Velocity Timeline
Defect Burndown
Scope Change Trend
Milestone Status
Load by Workstream
Risk Mix
Blocker Trend
Recommended AI Action

Detect milestone drift early and auto-generate dependency mitigation plans for critical path items.

Email & Nurture System

Segment strategy, AI-assisted messaging, and conversion analytics.

Growth Enablement
Process Flow — Email & Nurture
  • Outcome: stronger replies and nurture-to-meeting yield.
  • Control: frequency capping + deliverability hygiene.
Beacon Dental Collective Email Nurture Dashboard
View: All Segments • Last 7 Days
41%Open Rate
8.7%CTR
12.4%Reply Rate
+11%Gain vs Prior
Nurture Funnel
Segment Lift
Send-Time Curve
CTA Variant Wins
Outcome Mix
Throughput
Reply Velocity
Recommended AI Action

Boost warm-segment reply rates with adaptive subject line generation and send-time optimization.

Custom Systems (Anything You Need)

If your workflow doesn’t fit a template, we design and implement a tailored AI-enabled operating system around your exact process.

Custom Engagement
Process Flow — Custom Build
1Business MappingDocument your current process, bottlenecks, risks, and must-keep steps.
2Solution BlueprintDesign data model, integrations, automations, and operator views.
3PrototypeBuild a pilot version for your highest-value use case first.
4ValidationRun controlled tests against baseline metrics and edge-case scenarios.
5Scale-OutExpand to adjacent teams/workflows with reusable standards.
6OperateFormalize runbooks, ownership, SLAs, and improvement backlog.
  • Outcome: a system shaped to your exact business reality, not a forced template.
  • Control: architecture decisions documented with explicit tradeoffs and rollback paths.
Harbor Multi-Services Co. Custom Workflow Command Dashboard
View: All Streams • Last 7 Days
37Automations Live
2.4hAvg Cycle Time
93%Process Conformance
+14%Efficiency Gain
Workflow Throughput
Queue by Stream
Exception Trend
SLA Bands
Automation Mix
Owner Load
Change Requests
Recommended AI Action

Identify top exception drivers and auto-propose automation candidates ranked by effort vs impact.

Typical delivery timeline

A structured 4–8 week engagement with explicit deliverables, decisions, and go-live controls.

Week 1

Discovery & Baseline

  • Stakeholder interviews + workflow mapping
  • Current-state KPI baseline and pain-point heatmap
  • Data/source inventory and access plan
  • Risk register (operational + technical)
  • Deliverables: Discovery brief, KPI baseline, draft scope boundaries
  • Gate: Discovery signoff + target outcomes approved
Week 2

Architecture & Design

  • Future-state process + owner responsibilities
  • Rules engine/routing logic and exception handling design
  • Dashboard wireframes + reporting definitions
  • Acceptance criteria mapped to business outcomes
  • Deliverables: Solution blueprint, data contract, test strategy v1
  • Gate: Design review and implementation approval
Weeks 3–4

Build Iteration 1

  • Core workflow implementation + instrumentation
  • Initial automations and SLA controls
  • Operator dashboard v1 + alerting logic
  • Integration shakedown (inputs/outputs)
  • Deliverables: Working prototype, test evidence pack v1
  • Gate: Midpoint demo + go/no-go to iterate
Weeks 5–6

Build Iteration 2 + QA

  • Exception-path hardening and edge-case coverage
  • Performance + reliability checks under expected load
  • Data reconciliation and metric parity validation
  • Runbook drafting + handoff prep
  • Deliverables: QA report, release candidate, operational runbook
  • Gate: Acceptance test pass + launch readiness signoff
Weeks 7–8

Launch, Enablement & Stabilization

  • Production rollout with rollback protocol
  • Operator + leadership enablement sessions
  • Daily hypercare metrics during stabilization window
  • Optimization backlog prioritized by ROI
  • Deliverables: Final dashboard package, handoff set, 30-day optimization plan
  • Gate: Transition to operating cadence

Governance and quality standards

Execution discipline that protects quality, ensures traceability, and keeps ownership clear after go-live.

Quality Assurance Framework

  • Functional: primary path + exception path validation against requirements
  • Data: field-level integrity checks, reconciliation, and null/format controls
  • Reliability: retry/fallback behavior, timeout handling, alert thresholds
  • Usability: operator workflow clarity, friction review, and error messaging quality
  • Security hygiene: role-based access assumptions, sensitive field handling, audit notes

Acceptance Criteria Model

  • Every objective tied to a measurable KPI with baseline and target range
  • Pass/fail evidence captured per milestone (screens, logs, metric snapshots)
  • Formal signoff sequence: business owner + operational owner
  • Known limitations and deferred items documented with owner + due window
  • Production readiness checklist required before launch authorization

Operating Model & Ownership

  • Defined owners for triage, change requests, and incident escalation
  • Weekly operator review cadence + monthly leadership KPI review
  • Runbooks for normal operations, exceptions, and rollback scenarios
  • Change protocol: intake → impact review → test → approve → release
  • Continuous improvement queue prioritized by business impact and effort

Risk, Compliance & Auditability

  • Decision log for significant workflow/routing logic changes
  • Traceability from requirement → implementation → test evidence
  • Policy checkpoints for regulated or customer-sensitive operations
  • Escalation matrix with response SLAs for critical incidents
  • Post-incident review template with corrective/preventive action tracking

Ready to build your first AI system?

Start with one workflow. We’ll implement it with measurable outcomes and a clean handoff your team can run.

Book a strategy call

Fast response + recommended first sprint.