← AI Transformation Suite Program Controls · Executive Dashboard

Program Dashboard

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Section 1

Program Health at a Glance

Status as of Fri 11 Sep 2026 · Wk 4 · Phase 0

Project Catalyst is in Week 4 of Phase 0 (Foundation) — the 12-week mobilization leg of a 36.5-month, $99.0M program running 17 Aug 2026 through 29 Aug 2029. Overall status is Green: the program is tracking to its approved schedule and cost baselines with no variances to report, which is expected this early in delivery. Foundation work is advancing on four parallel fronts — the AI Readiness Assessment, the AI Center-of-Excellence charter & governance framework, platform/cloud vendor selection, and early BRD-01 (Claims & Prior Authorization AI) requirements preparation ahead of the December design sign-off. The program's ten anticipated risks are logged on the RAIDD register as forward-looking items; none has yet materialized. Near-term focus: deliver the AI Readiness Assessment Report (25 Sep) and stand up the AI Governance Board and Enterprise Architecture Review Board so phase-gate governance is fully operational before Phase 1 design begins.

Overall Status
Green
On baseline · no variance to report
On track
Schedule (SPI)
1.00
2.3% of 1,108-day schedule elapsed
On baseline
Cost (CPI)
1.00
~$2.0M of $99.0M drawn to date
On baseline
Open Risks
0 / 10
0 realized · 10 anticipated on register
Monitoring
Next Milestone
AI Readiness Report
Targeted 25 Sep 2026
On plan

Top Program Risks anticipated · monitored

Legacy claims data fragmentation
Inherent High — historical claims data quality could pressure the BRD-01 timeline. Data profiling underway now in Phase 0; remediation rules to be scoped before Build.
RSK-01
GenAI compute / token cost overrun
Inherent Med-High — inference and token spend can escalate at scale. FinOps guardrails and budget alerting to be established in the platform build (Year 2 watch item).
RSK-02
Member chatbot hallucination / liability
Inherent High — Moffatt v. Air Canada precedent. Human-in-the-loop review, scoped disclaimers, and confidence thresholds are being designed into BRD-02 from the outset.
RSK-03
Independent validation flags model bias
Inherent Medium — second-line Independent Model Validation gate must clear before any BRD-03 underwriting model reaches production; retraining cycles budgeted as contingency.
RSK-06
Full register: RAIDD Log · change activity: Change Control Log

Budget Snapshot spend vs. baseline

Year 1 SOW envelope$2.0M / $27.72M
Program budget (life-of-program)$2.0M / $99.0M
Phase 0 Foundation allocation$2.0M / $4.9M
PV $2.0M EV $2.0M AC $2.0M CPI 1.00 SPI 1.00
Envelopes reconcile to CBA, TCO, and the three SOWs. Spend shown is early Phase-0 mobilization.

Milestone Rail key program milestones · first year

Kickoff
17 Aug 2026
AI Readiness Report
25 Sep 2026
Section 2

Drill-Down: Scope, Risk & Quality

WBS Workstream Progress 7 elements · 64 work packages · budget-weighted

1.0 Program Mgmt & PMO $12.6M
8%In progress
2.0 Data & Cloud Platform $20.7M
6%In progress
3.0 AI Governance & CoE $13.2M
7%In progress
4.0 BRD-01 Claims & Prior Auth $11.02M
3%Req prep
5.0 BRD-02 Member/Provider UX $13.2M
0%Not started
6.0 BRD-03 Underwriting & Risk $12.48M
0%Not started
7.0 Optimization & Closeout $15.8M
0%Not started
Budget-weighted completion 2.0% · cross-cutting workstreams (PMO, Data & Cloud, AI Governance) run in parallel from Day 1; BRD delivery legs ramp by phase. Full detail in the WBS Console.

RAIDD Summary register at Wk 4

CategoryCountNote
Risks10All anticipated · 0 realized
Assumptions6Baseline planning set
Issues0None open
Dependencies41 external (CMS-0057-F project)
Decisions3Logged in Phase 0

Phase-Gate Readiness

GateTargetStatus
G0 · FoundationNov 2026Prep
G1 · Requirements & DesignFeb 2027Not started
G2 · Build & TestJun 2027Not started

Program Risk Heat Map inherent rating · anticipated register

How to read this: each of the program's ten anticipated risks is plotted by its inherent rating — likelihood (rows) against impact (columns), before mitigation. A cell's colour marks its severity zone; the risk IDs (e.g. RSK-01) show which risks sit where. None has yet been realized as an issue. Mitigation owners and controls for each are on the RAIDD Log.

Likelihood ↓ / Impact →
Very Low
Low
Moderate
High
Very High
Almost certain
—
—
RSK-10
—
—
Likely
—
—
RSK-02RSK-07
RSK-01
—
Possible
—
—
RSK-05RSK-06
RSK-03RSK-04
—
Unlikely
—
—
RSK-09
RSK-08
—
Rare
—
—
—
—
—
Low zone Moderate zone High zone 10 anticipated · 0 realized
The cluster sits in the Moderate–High band — legacy data quality (RSK-01), chatbot liability (RSK-03), and prior-auth regulatory scrutiny (RSK-04) are the highest-rated. Each carries a phase-mapped control on the RAIDD Log.
Section 3

Resource Utilization

current period · Phase 0 ramp

Key Roles — Phase 0 Loading foundation & governance ramp; delivery/validation ramp later by phase

C. TyrrellProgram Director
100%
T. ValdezPMO Lead
85%
M. TorresSenior Scheduler / EVM
90%
D. ChenChief Enterprise Architect
75%
S. KhuranaAI Governance Director
65%
Vendor / Procurement LeadPlatform selection (active Ph0)
70%
Data & Cloud Platform LeadArchitecture & vendor eval
70%
AI CoE LeadCharter & operating model
60%
BRD-01 Delivery LeadRequirements preparation
55%
A. RodriguezProgram Finance
45%
Data Privacy OfficerPHI/PII framework setup
40%
Cybersecurity LeadSecurity architecture inputs
35%
Legal / ComplianceRegulatory framing
30%
Change Mgmt / OCM LeadStakeholder & comms setup
25%
QA / Test LeadRamps in Phase 2 (Build & Test)
20%
P. OkaforIndependent Model Validation — ramps Phase 2
15%
Utilization reflects a Phase-0 profile: foundation, governance, and vendor-selection roles are heavily loaded while BRD build teams, QA, and second-line validation ramp on in later phases. Full staffing model in the Resource Plan and Org Chart.

Completion above is budget-weighted (EVM basis). The Resource-Loaded WBS reports schedule % complete (duration-weighted) for the same 11 Sep 2026 status date; the two measures differ by design.