Sapira

Methodology
AIO

Discover.

Build.

Control.

From guesswork to governed operation.
Your AI workforce, operational in 6 months.

The Problem

AIappearsinslides,workshops,andPoCs.

Butnotinthedailywork.

Four structural failures prevent AI from becoming operational. Each creates friction that compounds over time.

01

Guesswork

Use cases invented in workshops, not based on real operational data about how work actually flows.

1000sof models and tools
02

Fragmentation

PoCs delivered as one-off projects that never evolve into robust, production-grade systems.

0interoperability
03

Chaos

Agents scattered across vendors and teams. No central ownership, no observability.

shadow IT
04

Stagnation

No data-driven roadmap. Without production control, no sustained ROI.

?value generated
The Solution

AI Office System

built on real workflows

Our Methodology is how we converge. An enabling layer that aligns discovery, execution, and oversight so AI moves from intent to impact, together.

I

Discover

Pharo Light

II

Build

Pharo Forge

III

Control

Pharo Tower

Pharo Light
I

Discover

Turn daily work into a data-backed AI pipeline. Not from workshops. From real operational data.

01

Define

Select teams and systems. We ingest signals from API logs, ERP backend data, and workflow analysis to map how work really flows.

Always read-only. Zero impact on your systems.

API Logs

REST, GraphQL, internal services

SAP
Oracle

ERP Backend

Enterprise resource planning systems

Jira
ServiceNow

Workflow Events

Tickets, approvals, notifications

02

Ingest

Group events into workflows. Compute baseline metrics for each one: volumes, handling times, hand-offs, error rates.

Example: Invoice Approval Workflow

1

Receive

2

Validate

3

Match PO

4

Route

5

Approve

6

Post

14,000

Monthly volume

12 min

Avg. handling time

4.2

Avg. hand-offs

4.8%

Error rate

03

Analyze

For every workflow, we calculate three critical dimensions to determine AI-readiness and prioritization.

94/100

AI-Fit Score

How suitable is this workflow for AI automation?

Medium

Effort

Technical complexity, integration risks, data quality.

+$2M/year

Impact

Projected savings from time reduction and error elimination.

04

Rank

Prioritize opportunities by business unit, impact, risk, and effort. Create a data-backed AI roadmap.

Workflow
Volume
Time Saved
Score
Impact

PO Invoice Reconciliation

14K/mo
12min30s
94
+$2M

Contract Redlining

2.4K/mo
45min8min
87
+$800K

Customer Support Triage

8.2K/mo
15min2min
91
+$1.2M

Pharo Light · Result

A data-backed AI pipeline.

Not guesswork.

3

Workflows identified

+$4M

Annual impact

92%

Avg. AI score

Pharo Forge
II

Build

Turn on your industrialized assembly line for AI. Not one-off projects. Repeatable systems.

LAYER 01

The Blueprints

Agent Patterns Library

Unlock accelerated development through pre-built production-ready templates. Each pattern is battle-tested and deployment-ready.

RAG Legal

Contract analysis, compliance review, redlining, risk flagging

Transactional ERP

Invoice processing, PO matching, reconciliation, approval routing

Classification

Ticket routing, triage, categorization, sentiment analysis

LAYER 02

The Builders

Forward Deployed Engineers

Adapt the technology to your operations. Your team and our FDEs work side-by-side to ensure production success.

Your Team

  • Domain expertise
  • Business context
  • Process knowledge
  • Stakeholder access

Pharo FDEs

  • AI/ML engineering
  • Production patterns
  • Integration expertise
  • Deployment experience
LAYER 03

The AI PMO

Central Command

A single pane of glass for all AI initiatives. Track owners, timelines, priorities, and status in real-time.

Initiative
Owner
Status
Timeline
Invoice Agent
Finance
Live
Contract Analyzer
Legal
UAT
Week 2
Support Triage
CX
Build
Week 4

Pharo Forge · Result

AI workers as industrial units.

Not experiments.

3

Blueprints deployed

2

FDEs assigned

100%

PMO visibility

Pharo Tower
III

Control

Complete governance, forensic auditability, and financial control. Because once AI is live, the problem is no longer technical.

Monitoring

The Forensic Lens

Live Traces: Drill down into any interaction to see the complete 'Reasoning Trace' - every step the AI took.

Traces / 24h12,847
Latency p99< 200ms
Accuracy99.2%
Compliance

The Safety Valve

Automated guardrails and human-in-the-loop controls. Every decision is logged, every escalation tracked.

  • PII detection & masking
  • Confidence threshold: < 90%
  • Escalation workflows
  • Full audit trail
Billing

The P&L View

ROI tracking and 'Cost-to-Serve' per ticket. Budget caps per department. Real-time financial visibility.

Cost per ticket$0.12
ROI multiplier28x
Monthly savings$340K

Pharo Tower · Result

AI as a governed operation.

Not an experiment.

100%

Trace coverage

< 90%

HITL threshold

Real-time

Cost tracking

The Journey

In6months:fromAIguesswork

toamanagedAIworkforce.

Day 0

Deploy Pharo Light. Connect to systems.

Month 1

See where time goes. First AI-ready list.

Month 3

AI pipeline with ROI. First workers in Forge.

Month 6

1-3 workers live. Tower switched on.

Ongoing

Fleet of AI workers. Full exec visibility.