Methodology
Eight operating principles. NOFO-anchored throughout. One AI/Expert Reconciliation Log.
How HSG translates Diana L. Caley's FFP M&E authorship (199-indicator Handbook from which the FY25 NOFO's nine standard indicators descend) and three career FAS Senior Foreign Service officers' ninety-seven combined years of FAS experience (Maurice House, Kevin Latner, Kevin Sage-EL — including Kenya and Rwanda direct in-country execution from Sage-EL's 2016-2020 Nairobi posting) into a USDA-maintainable operating playbook anchored on the NOFO's core function commitment to support American Farmers feeding the world's hungriest and the three reform priorities, within a twelve-month firm-fixed-price period of performance — and the AI-augmented delivery methodology that makes the eleven-deliverable cadence feasible.
Eight Operating Principles · NOFO-Anchored · American Farmer Purpose
How HSG approaches every PWS scope area.
Inside-out, not outside-in — anchored on the American Farmer purpose statement
Process guides are written from the USDA FAS operational vantage point rather than imported from generic humanitarian-programming frameworks. The framing anchor is the FY25 NOFO's core function commitment — Food for Peace exists to support American Farmers feeding the world's hungriest. Three career USDA FAS Senior Foreign Service officers contribute the U.S. ag-producer engagement voice directly: Maurice House (CCC GSM-102 + 38-yr FAS career), Kevin Latner (Food for Progress monetization + Cotton Council International + U.S. Grains Council), and Kevin Sage-EL (FAS Branch Chief over $30M+/yr in U.S. cooperator matching-grant programs + FAS Cotton Commodity Analyst + Agricultural Counselor U.S. Embassy Nairobi 2016-2020). Diana L. Caley (Senior M&E Advisor and Training Lead) contributes the operational FFP M&E substance from her decade at the USAID Office of Food for Peace and BHA — including authorship of the FFP Emergency Indicator Handbook (199 indicators) from which the FY25 NOFO's nine standard performance indicators descend. The documents read like they came from inside the agency that has to run them, written for the U.S. farmer constituency the program exists to serve.
Parallel AI + expert drafting; judgment-driven synthesis
HSG's AI-augmented service delivery methodology is not 'AI does the work and a human reviews it.' On every consequential deliverable, an AI-generated draft and a senior-expert-generated draft are produced in parallel as two independent perspectives on the problem. HSG's Engagement Manager then synthesizes the two — selecting the strongest elements of each, reconciling divergences, and authoring the final deliverable. The value lives in the judgment layer where the two perspectives are integrated; neither AI alone nor expert alone drives the work. Every reconciliation is documented in HSG's AI/Expert Reconciliation Log — the audit-defense artifact that records what each source proposed, what the Engagement Manager chose, and why. AI augments senior expertise; it does not substitute for it.
Title II + non-emergency unified view
Although USAID-era Food for Peace was operationally bifurcated between emergency Title II and non-emergency programming, HSG's process guides treat them as a single integrated operating envelope so USDA staff can flex resources across emergency and non-emergency states without process discontinuity.
Cargo Preference + domestic manufacturing integrated
PWS 3.2 explicitly calls for triangulation of Cargo Preference compliance, U.S. domestic specialty-formulated commodity manufacturing capacity, and emergency response timing. HSG treats all three as one decision space — a single trade-off framework rather than three separate analyses USDA staff have to reconcile.
Risk-tiered country selection — calibrated to the NOFO 7
PWS 3.4 calls for prioritization that considers more than just finances. HSG builds the country-selection methodology around a transparent multi-factor weighted score, calibrated against the FY25 NOFO seven priority countries (DRC, El Salvador, Ethiopia, Guatemala, Haiti, Kenya, Rwanda) as the proof-of-concept tranche. The ongoing-vet methodology refreshes the list at future NOFO cycles. The four-stage graduation pathway (acute / sustained / recovery / graduation) classifies each country's trajectory and operationalizes NOFO Reform 3's off-boarding-and-graduating doctrine. The methodology is auditable, reproducible, and defensible in Congressional testimony and OIG response. Diana L. Caley co-leads with Maurice House.
FFP 1.0 / 1.5 / 2.0 Optioning posture
HSG structures the transition choice for USDA leadership across three trajectories — Continuity (FFP 1.0), Adaptation (FFP 1.5 — the May 13, 2026 NOFO baseline), and Redesign (FFP 2.0 — the bilateral co-investment architecture Reform 3 points toward) — without substituting HSG judgment for USDA's. The State Department's 31 bilateral Global Health Strategy MOUs ($20.6B total, $7.8B recipient counterpart, 38% counterpart share) are the operational template FFP 2.0 generalizes. Country Selection becomes deal-readiness assessment under FFP 2.0; Communications becomes value-chain articulation; non-emergency programming integrates as a complementary deal track. Audrey McGuire (Emax CEO; Wall Street capital-markets background) anchors the bilateral deal-architecture dimension; Kevin Latner (development-to-business transition consulting practice) anchors the cooperator-program continuity. Working preview at /transition-architecture.
Five named Enhanced Frameworks (proprietary)
HSG brings five named, auditable methodological objects to the engagement: (a) the Enhanced Bellmon Framework — three-tier extension of the statutory Bellmon Amendment operationalizing strategic-alignment overlays at the commodity-decision level; (b) the House Country-Tier Risk Framework — four-tier operating-environment classification keyed to State Travel Advisory + DoD + OFAC + FFP-specific thresholds, anchored on Maurice House's first-U.S.-wheat-to-Taliban-Afghanistan canonical case; (c) the House R&I Adaptation Framework — adapts USAID's Refine-and-Implement two-phase DFSA design for USDA FAR Part 16 IDIQ task-order architecture and Food for Progress sister-program execution discipline (Kevin Latner anchor); (d) the House 22 CFR Crosswalk — per-section USAID 22 CFR (Parts 211/226/228) → USDA Title 7 / 2 CFR 200 / FAR-AGAR mapping with section-by-section inheritance disposition (Jelani House anchor); (e) the Four-Stage Graduation Pathway — acute / sustained / recovery / graduation classification operationalizing NOFO Reform 3's off-boarding-and-graduating doctrine, anchored on Diana L. Caley's authored M&E framework. Each anchors on externally-documented Government classifications so application requires zero discretionary judgment. Full specifications, sample matrices, and federal-defensibility anchors at /frameworks.
M&E discipline anchored on the NOFO nine standard indicators
Reform 2's strict-accountability commitment is operationalized through the FY25 NOFO's nine standard performance indicators plus custom indicators that measure fraud/waste/abuse/diversion mitigation. Diana L. Caley authored the predecessor framework (199-indicator FFP Emergency Indicator Handbook), co-authored the BHA M&E Technical Guidance, and authored the sample size estimation calculator + target-setting toolkit + Performance Indicator Reference Sheets published on USAID.gov (adopted by 8 implementing partner projects in 4 countries). HSG's Programmatic Reporting Guide (Deliverable 8) and Programmatic Infrastructure Guide (Deliverable 10) both anchor on this M&E architecture — explicitly listing the nine NOFO indicators, articulating the custom-indicator framework for Reform 2 accountability, calibrating reporting cadence to the semi-annual NOFO rhythm, and providing USDA the analytical infrastructure to defend the program against Congressional and OIG scrutiny.
AI-Augmented Delivery
The 80/20 split that makes the eleven-deliverable cadence feasible.
Federal advisory work has two layers — the mechanical 70–80% (research, drafting, formatting) and the judgment 20% (interpretation, recommendation, audit defense). AI without expert review is reckless on the 20%. Expert work without AI on the 80% is wasteful in a twelve-month firm-fixed-price contract. HSG's methodology lets the LLM draft the 80% under named workstream-lead oversight (Diana L. Caley on M&E and training; Maurice House and Kevin Latner on the FAS-facing process guides; Jelani House on engagement-management deliverables), with senior bench experts confirming every consequential action.
AI Workflow Build
LLM (Anthropic Claude API or Azure OpenAI in federal-cloud-eligible regions) drafts the mechanical 70–80% of each process guide — research synthesis from authoritative sources, draft narrative generation, formatting consistency, cross-reference resolution. Expert reviewer confirms or edits every consequential output.
AI/Expert Reconciliation Log
HSG's signature transparency deliverable. Every AI-suggested action is paired with the expert reviewer's disposition, timestamp, and underlying input lineage. The Log is the audit-defense artifact for any post-engagement OIG, GAO, or Inspector General review.
Federal AI Governance
Aligned to OMB M-25-21 (Accelerating Federal Use of AI), M-25-22 (Driving Efficient Acquisition of AI in Government), Executive Order 14179, and the NIST AI Risk Management Framework. Documented model cards, use-case registration, and human-on-the-loop discipline throughout.
In Practice
This methodology is not theoretical.
HSG has applied the AI-augmented delivery methodology on the USDA APHIS overseas workforce engagement (Mexico, Panama, Guatemala — rated Exceptional across all categories on signed Past Performance Questionnaire), on the VA Lease Contract Administration engagement (58 active VHA leases / 2.5M sq ft / 30%+ administrative time reduction), and on the Syngenta GMO Corn expert-witness engagement (~$500M settlement) where Jelani House synthesized U.S., Chinese, and EU regulatory frameworks.
On this contract, the methodology compresses the eight process-guide deliverables into a cadence that fits the twelve-month POP — and produces an AI/Expert Reconciliation Log that becomes the audit-defense artifact for USDA's post-engagement use.