Evidence
Evidence, stated carefully.
Prior enterprise customer work is confidential and is presented only as anonymized operating experience. Hardpoint client outcomes will be published separately when evidence, client permission, and attribution are available.
Evidence class 01
Prior enterprise delivery evidence
Historical experience from prior professional employment. Clearly labeled as prior professional experience, not Hardpoint engagements.
Prior professional experience
Carrier-grade voice & contact center
SIP, VoIP, IVR and contact-center platforms, MPLS and carrier connectivity, and 24/7 NOC operations — environments where a dropped call is a measurable business event.
Prior professional experience
Multi-site enterprise implementation
Multi-site deployments and deployment-pattern design across retail, franchise, financial services and higher education environments.
Prior professional experience
Professional Services delivery at scale
Global Professional Services delivery carrying a portfolio of concurrent projects, including production incident recovery and documented handoff.
Principal record
Principal operating record
Tom Melchionna — Principal Consultant. Figures below come from prior professional employment and are presented with that boundary attached.
15+ years
Telecom, enterprise implementation, and Professional Services.
50+
Concurrent enterprise implementations carried in a delivery portfolio.
>99%
SLA performance sustained across managed delivery.
$20M–$30M
Enterprise delivery portfolio value.
30% fewer
Project overruns following delivery-process changes.
33% faster
Delivery cycle time.
25% greater
Delivery throughput.
95% CSAT
Customer satisfaction across delivered engagements.
Prior professional experience—not Hardpoint client outcomes.
Evidence class 02
Hardpoint reference architectures
Designs Hardpoint brings to an engagement and adapts to the environment. These are architecture patterns, not client deployments.
Design
Classified routing layer
Class-of-service taxonomy, eligible-route determination, ranked routes, failover chains, timeout and retry policy, with per-request telemetry emitted for attribution.
Design
Cognitive Least Cost Routing
The pattern for selecting an eligible execution path after capability, policy, privacy, authority, entitlement, context, reliability, latency, locality and capacity constraints are satisfied.
Design
Governed knowledge pipeline
Source inventory to governed OKF bundles to served retrieval, with review, versioning and a re-runnable evaluation harness.
Design
Routing Receipt and Continuity Capsule
Per-request accountable execution records, and a structured handoff record that survives a model, provider or operator change.
Design
Hybrid inference placement
Workload placement across provider APIs, private infrastructure and local compute, with the operating burden of each written down alongside the cost.
Design
Production operations envelope
Signals, thresholds, runbooks and incident review structure adapted from NOC practice to AI-specific failure modes.
Interactive reference environment
The Hardpoint Architecture Lab
The Hardpoint Architecture Lab is a browser-isolated reference environment using synthetic data. It demonstrates OKF transformation, workload classification, route eligibility, failover, continuity, routing receipts, and operations concepts. It is not a client deployment or a commercially released software product.
Synthetic reference environment
Knowledge source
01Knowledge source· done
- Salesforce
- Confluence
- Jira
- Git
- Runbooks
02Governed OKF concept· pending
concept: refund-authority owner: finance-ops sensitivity: internal freshness: 14d provenance: 3 sources
03Workload class· pending
High-Consequence
04Eligible routes· pending
- Local 8B · owned hardwareeligible
- Regional API · mid tiereligible
- Frontier API · primaryeligible
- Offshore API · lowest priceeligible
Exclusions are stated, not implied: Capability below acceptance; Locality policy excluded.
05Fallback· pending
Primary path degrades mid-request. The predetermined fallback takes the workload before the operator is paged.
06Routing Receipt· pending
class: high-consequence eligible: 2 of 4 excluded: capability, locality selected: frontier-api fallback: regional-api (engaged) retries: 1 latency: 2.4s evaluation: passed disposition: accepted
Interactive reference environment · Synthetic data · No production systems connected
The lab is classified as an interactive reference environment. It is not validated customer evidence, not a client deployment, and not commercially released software.
Evidence class 03
Current lab program
Work in progress on our own hardware and budget: what is being tested, benchmarked, designed, prepared and validated right now.
In progress
Local model benchmarking
Currently benchmarking throughput, latency and quality characteristics of small and mid-size models on owned hardware against mechanical-class workloads.
In progress
Shadow routing simulation
Replaying synthetic traffic mixes through alternative routing tables to observe cost and quality sensitivity to classification errors.
In progress
Knowledge format trials
Testing conversion and retrieval behaviour against structured knowledge bundles, including regression behaviour after content edits.
In progress
Provider pricing model
Maintaining and validating a model of published per-model list pricing, used to keep estimates current and to show the delta between routes.
Lab program items are active work, not results. Nothing here is presented as a measured outcome until a dated, reproducible artifact exists for it.
Evidence class 04
Validated evidence
Evidence promoted from the lab program once it carries a dated artifact, stated method, environment, assumptions, measurements, version and reproducible output.
Status
Validated evidence will be published as reproducible artifacts become available.
Ask us for detail under NDA.
Architecture specifics, prior delivery structure and lab methodology can be walked through directly in a technical conversation.