Why This, Why Now

Tailored for All Points' Strategic Advantage

Enterprise Foundation

All Points is a mature technical services and technology company with deep work across engineering, IT, modeling & simulation, cyber, integrated logistics, and mission support for NASA, the Missile Defense Agency (MDA), and major primes—delivered under vehicles such as SEWP and OASIS+ and backed by process rigor (CMMI-DEV 3; SDVOSB heritage).

AI Transformation Opportunity

Generative AI now lets All Points compress cycle time across mission software, systems engineering artifacts, test documentation, cyber playbooks, integrated logistics support (ILS) products, proposals, and program reporting—without compromising compliance or quality. The following three programs operationalize AI inside your current business lines (Space Prep, Mission Innovate, AP&O/Technology Sales), mapping AI copilots to billable deliverables and capture motions.

Program Schedule

3 Comprehensive Offerings

Program Who it's for Scope (tailored to All Points lines) Core Deliverables Duration Success Metrics
1) AI Competency & Copilot Accelerator (Stand-Alone)
1–3 functional teams (e.g., M&S, Cyber, IT, ILS) Baseline AI literacy + role-specific copilots for engineering, ITSM, cyber, modeling/sim, logistics, and program ops
  • Team Harada matrix of deliverables → AI copilot maps
  • Prompt kits and guardrails (Gov/DoD, NASA context)
  • Secure "workbench" patterns for CUI/FOUO workflows
  • 20–30 reusable templates (SE, V&V, ICDs, CONOPS, test, STIG, POA&M, ILS artifacts)
 4–6 weeks
(sprint-based)
  • 30–60% cycle-time reduction on selected artifacts
  • ≥2x throughput of review-ready docs
  • Positive SME quality score
2) Mission-Focused AI Platform (Group Delivery, Cohort)
Cross-program cohort (up to 10 teams; max ~10 ppl each) Platformization of copilots across Space Prep, Mission Innovate, AP&O/Tech Sales; shared patterns for proposals and program ops
  • Federated copilot library (M&S, cyber, ILS, SW/SE, capture)
  • Proposal & TO response accelerators (SEWP/OASIS+ mappings)
  • Engineering doc generators + traceability packs
  • Program reporting bots (EV, risk, action logs)
 8–12 weeks
(two releases)
  • 25–40% faster proposal assembly
  • 20–35% faster doc package builds
  • Improved PWIN (qual/tech volumes)
3) Evergreen AI-Enabled Knowledge & Proposal Factory (Subscription)
Enterprise enablement + BD/Capture + PMO Turns internal SOPs, past proposals, templates, and eng. artifacts into always-on AI agents; continuous improvement & governance
  • "Proposal Factory" (SEWP/OASIS+ profiles, checklists, compliance matrices)
  • AI SOP copilots for operations & quality (CMMI-DEV 3 aligned)
  • M&S sandbox prompt packs; cyber playbooks (STIG, RMF)
  • KPI dashboard (cycle time, quality, win-rates)
 Annual
(with quarterly value releases)
  • ≥3 "lights-out" pipelines (proposal sections, reports, test docs)
  • Continuous KPI gains; quarterly value review

What's Inside Each Program

Detailed Implementation Overview

01

AI Competency & Copilot Accelerator (Stand-Alone)

Fit: A fast, contained pilot for one to three teams (e.g., Modeling & Simulation; Cyber & RMF; IT/Service Desk; Integrated Logistics). All content and templates are tailored to All Points' current portfolios and customers (NASA, MDA, primes).

Workstreams

Discovery & scoping

Identify 10–15 high-leverage deliverables per team (e.g., test plans, ICDs, verification matrices, POA&M updates, LORA, provisioning lists, BOM, ILS data packets, help-desk KEDB updates).

Copilot design

Role-based prompt libraries + citation/traceability scaffolds; governance for CUI/FOUO content flows (no external data egress; private retrieval).

Templates & automations

One-click generation of review-ready docs (with embedded references) for engineering and ops.

Enablement

Hands-on labs; "prompt-to-procedure" skill drills; lead-user program.

Concrete outputs

  • AI copilot maps for 2–4 roles per team
  • 20–30 reusable prompt+template packs
  • Pilot KPI baseline and post-pilot report
02

Mission-Focused AI Platform (Group Delivery)

Fit: Scale across programs under Space Prep, Mission Innovate, and AP&O/Technology Sales—codifying a shared standards library so teams don't "start from scratch."

Workstreams

Platform library

Federated copilots for M&S, cyber, software/SE, ILS, ITSM, and capture; shared taxonomies and file naming; metadata for auto-traceability.

Proposal accelerators

Response builders keyed to SEWP and OASIS+ (section scaffolds, Q&A memory, resumes, past-perf insertions, compliance matrices).

Program ops bots

Risk log summarizers, action item digesters, EV/status write-ups, and stakeholder briefs—aligned to customer cadence.

Quality & security

CMMI-DEV-aligned checklists and review workflows; SDVOSB brand standards and approvals where applicable.

Concrete outputs

  • Company-wide copilot catalog (20–40)
  • Proposal Factory v1 (RFP parser, boilerplate library, checklist engines)
  • Engineering documentation kit with cross-artifact traceability
03

Evergreen AI-Enabled Knowledge & Proposal Factory (Subscription)

Fit: Make AI a standing capability: keep templates, resume banks, past-performance, compliance matrices, cyber playbooks, and test artifacts continuously current; integrate new vehicle requirements and lessons learned quarterly. Ties to SEWP vendor ecosystem and OASIS+ service lines.

Workstreams

Knowledge ingestion

Governed ingestion of historical proposals, TO responses, SOWs, technical volumes, resumes, CPARs, SOPs.

Agent upkeep

Quarterly refresh of copilots for M&S, cyber, SE, ILS, ITSM, and capture; add emerging customer requirements (NASA/MDA) as patterns.

KPI dashboard

Cycle-time, error/defect rate, rework, PWIN deltas, proposal velocity, doc quality scores.

Security & compliance

Private retrieval, least-privilege access, review trails; align to internal quality practices (CMMI-DEV 3).

Concrete outputs

  • Always-current Proposal Factory (section generators, compliance, resumes/past-perf)
  • Ops/quality copilots embedded in SOPs
  • Quarterly Value Review with KPI deltas and roadmap

Implementation Timeline

Typical Project Schedule

Week 0–2

Discovery, data rooms, governance, KPIs, pilot use-case selection

Week 3–6

Accelerator build (Program 1) → pilot launch & measurement

Week 7–12

Platform rollout (Program 2) to cohort; Proposal Factory v1 live

Ongoing

Subscription (Program 3) with quarterly value releases and training

Why Repeatable AI Fits All Points

Strategic Alignment & Excellence

Aligned to Deliverables

We align AI to billable deliverables you already produce (engineering docs, proposals, program reports)—not generic "skills."

Capability Pillars

We pattern agents to All Points' capability pillars (M&S, cyber, IT, ILS) and contract vehicles (SEWP/OASIS+), reducing risk while increasing speed.

Quality & Governance

Our approach respects your quality system and governance (CMMI-DEV 3 processes, documented reviews, traceability).

Notes on Source Alignment

Understanding All Points' Foundation

Who All Points is / what they do

engineering, IT, integrated logistics, mission support; modeling & simulation capability.

Customers and missions

NASA and MDA engagements; innovation centers in FL/AL/TX.

Contract vehicles & vendors

SEWP vendors list; OASIS+ overview on site.

Quality & identity

CMMI-DEV 3 and SDVOSB marks noted on site assets.