Effibotics
Operational results

What changed operationally after deployment.

Plain-language before/after from real deployments. The metrics that moved are the operational ones — routing SLA, approval latency, exception resolution, coordination overhead.

routing.map
Frazile · inbound coordination
rule_set: pod-routing-v7 · region: eu-west-1
live·09:42
  • Form submission
  • Inbound email
  • Referral
Intent · Enrichment · Score
  • → Sales Pod 1
  • → Sales Pod 2
  • → Nurture sequence
  • → Human review
Case · 01

Frazile

Mukund Goenka · Marketing Director
Deployed system
Lead Routing & Qualification System · v3.2
HubSpot · Gmail · Slack · Postgres
Deployment context
Department deployment · 5 weeks · phased rollout with HITL approval gates
Routing SLA stabilized · escalation loops removed · audit-ready state
Operational scope
  • · Inbound forms
  • · Email intake
  • · Routing rules
  • · SLA monitoring
Signals → Outputs
Form submit · Inbound email · Referral note
↓
Pod assignment · Owner notification · SLA timer
Before
  • Lead tracking split across email campaigns and CRM.
  • Follow-ups dropped because no one owned the handoff.
  • Routing decisions improvised in Slack threads.
After
  • Bidirectional sync — every interaction flows automatically.
  • Routing decisions owned by Ops; AI classifies and hands off.
  • Follow-ups triggered on schedule, escalated on stall.
Lead routing SLA
< 4m
Missed follow-ups
0
Coordination overhead
−6h/wk
Approval latency
Same-day
routing.frazile
Live telemetry
run_id: 4f2c…a01
live·rolling 24h
Routed/h
48
SLA hit
97%
region: eu-west-1 · deploy #1284
Case · 02

Schoenert GmbH

Francisco Otto · Finance Operations · Frankfurt
Deployed system
Finance Exception Monitoring Layer · v2.4
NetSuite · S3 · Snowflake
Deployment context
Cross-functional rollout · 7 weeks · monitoring layer activated post-deploy
Reconciliation drift eliminated · audit-ready state · exception ownership explicit
Operational scope
  • · Reconciliation
  • · Exception detection
  • · Audit trail
Signals → Outputs
Bank feeds · AR/AP ledgers · Vendor invoices
↓
Exception queue · Auditor packet · Daily report
Before
  • Reconciliation eating roughly one full day every week.
  • Discrepancies surfacing late and rarely with context.
  • Audit prep done by hand at quarter-end.
After
  • Consolidation runs unattended on schedule.
  • Exceptions flagged on detection with full audit trail.
  • Finance Team owns triage; AI surfaces and explains.
Exception resolution time
< 1h
Manual reconciliation
Removed
Time recovered
~1d/wk
Audit readiness
Continuous
exceptions.schoenert
Exception event stream
schema_v1.9 · run_id: 4f2c…a01 · operator note attached
degraded·rolling 8h
  • 06:02Run started · 14,302 txns
  • 06:1812 exceptions flagged · queued for triage · queue_depth=12
  • 08:41Exception #4192 resolved · Finance Team
  • 09:03Operator note attached · vendor mapping · Tomás
  • 09:27FX feed degraded · fallback active · sync_retry #2
  • 10:14Escalated · duplicate invoice pattern · Marcus
  • 11:48Daily reconciliation report sent
  • 13:22Audit packet generated · policy_v2.4
queue_depth=12 · backlog drain ~4m12s · fallback route active
Case · 03

Legal Practice

Deployed system
Document Intake & Approval Infrastructure · v1.8
Google Drive · Salesforce · Slack
Deployment context
Department deployment · 4 weeks · approval routing live before classification
Approval latency bounded · process drift eliminated · backlog drain observable
Operational scope
  • · RFP intake
  • · Classification
  • · Approval routing
  • · Tracking
Signals → Outputs
Email attachments · Portal uploads · Inbound forms
↓
Assigned reviewer · Tracked status · Approval log
queue.legal-practice
AI review queue · live
policy_v2.4 · confidence_floor=0.72
live·09:42
  • Inbound · form
    Acme GmbH — Pricing Q4
    94%
    routed→ Sales Pod 2 / Anya
    09:42
  • Inbound · email
    Linke & Co — Renewal review
    88%
    approved→ Reviewed by Marcus
    09:38
  • Inbound · referral
    Otto Holdings — Intro request
    61%
    escalated→ Human review · Priya
    09:31
  • Inbound · form
    Brightwell — Demo, 25 seats
    91%
    pending→ Awaiting approval · Anya
    09:27
  • Inbound · email
    Halden Industries — Custom quote
    —
    stuck→ Awaiting human review · 18m
    09:14
queue_depth=14 · backlog drain ~3m · policy_v2.4
  • 09:38Approval completed · doc #4192 · Reviewer
  • 09:31Escalated · contract clause flag · Escalation
  • 09:14Awaiting human review · 18m · fallback route active
Before
  • Team drowning in RFPs with no intake system.
  • Documents scattered, process drift across operators.
  • Approval status answered by asking around.
After
  • Centralised intake, classification, routing, and tracking.
  • Every RFP logged, assigned, observable end-to-end.
  • Reviewers own decisions; AI prepares the packet.
Cycle time
Days → hours
Approval latency
−68%
Document loss
0
Process drift
Eliminated
Case · 04

SaaS Operator

Deployed system
Revenue Intake Coordination Layer · v2.1
Stripe · HubSpot · Looker
Deployment context
Multi-system rollout · 6 weeks · phased rollout with governance setup
Shared operational visibility · forecast drift reduced · approval latency bounded
Operational scope
  • · Order intake
  • · CRM enrichment
  • · Revenue reporting
Signals → Outputs
Stripe events · CRM updates · Quote submissions
↓
Enriched record · Revenue dashboard · Forecast feed
Before
  • Revenue numbers reconciled weekly by hand.
  • Quote-to-cash visibility lagged behind close by days.
  • Forecast built from snapshots, not live state.
After
  • Revenue coordinated across Stripe, CRM, and reporting.
  • Ops owns thresholds; AI handles enrichment and routing.
  • Forecast feed updated continuously, governed by the ops lead.
Reporting latency
Weekly → live
Coordination overhead
−9h/wk
Forecast drift
−42%
Approval latency
Same-hour
revenue.saas-operator
Revenue intake · live
deploy #1284 · region: eu-west-1
live·09:42
Events/h
612
Sync lag
1.2sp95
Approvals
4
Pending
2
run_id: 4f2c…a01 · region: eu-west-1
revenue.saas-operator.events
Operator activity
live·last 1h
  • 09:42Quote enriched · routed to Pod 1 · Operator
  • 09:55Threshold review · approved · Reviewer
  • 10:11CRM sync degraded · retry #3
Case · 05

Industrial Operator

Deployed system
Onboarding Operations Pipeline · v1.5
Workday · Notion · Slack
Deployment context
Department deployment · 3 weeks · single coordinated pipeline activated
Removed manual escalation loops · exception ownership explicit · day-one readiness bounded
Operational scope
  • · Hire intake
  • · Provisioning
  • · Day-one routing
Signals → Outputs
Offer accepted · IT request · Manager checklist
↓
Provisioned accounts · Day-one packet · Status report
Before
  • Onboarding tracked across three spreadsheets.
  • Day-one IT readiness inconsistent across hires.
  • Manager checklists completed late or not at all.
After
  • Single coordinated pipeline from offer to day-one.
  • People Ops owns exceptions; AI runs provisioning.
  • Every hire's status observable, every step logged.
Day-one readiness
100%
Coordination overhead
−5h/hire
Approval latency
< 2h
Process drift
Eliminated
onboarding.industrial
Pipeline · 30d
policy_v2.4 · queue_depth=3
live·rolling
In-flight
9
Day-one OK
100%
operator note attached
Where this goes

The operational layer expands across the business.

Phase 1 · now
Marketing operations

The wedge. Every business has a marketing function carrying operational drag.

Phase 2 · 6m
Sales operations

Lead response and outbound expand into full sales operations infrastructure.

Phase 3 · 12m
Support & internal ops

Support routing, approvals, knowledge operations.

Phase 4 · 18m+
Finance & people ops

Reporting, reconciliation, onboarding, operational governance.

Discuss deployment