01 / PracticeAI SystemsAdvised · Built · Delivered

The headquartersof strategicgrowth.

Cross-sector AI systems partner. We scope the architecture, ship to production, and train your operators — then we measure the outcome.

Start an engagement Read the patterns
PRACTICE · SALEMS CONSULTING GROUP
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02 / NORTH STAR
The headquarters where strategy becomes system — advised, built, delivered.
North star · hq SCG · FL, USA · EST. MMXXIV
03 / PRACTICE

Advised. Built. Delivered.

A three-phase operating system for engagements. Each phase has a fixed shape, a named deliverable, and a measurable outcome.

01 · Advise

Scope the outcome

We name the metric that has to move before we touch a line of code. Fixed-scope engagements, 4–8 weeks, with a deliverable you can defend.

  • Outcome mapping
  • System architecture
  • Compliance posture
  • Risk register
02 · Build

Ship to production

Not a demo. The real surface, against real users, in a controlled rollout. Milestone-anchored, 3–6 months, operator handover baked in.

  • Knowledge corpus
  • Agent + surface
  • Eval harness
  • Rollout plan
03 · Deliver

Train and measure

Your operators run the system by month three. We retain a quarterly seat for drift audits and outcome review. The dashboard tells you if it worked.

  • Operator training
  • Runbook + handover
  • Quarterly drift audit
  • Outcome review
04 / SECTORS
01 · eGov

Government desks sit on statute archives and citizen queues that move slower than the systems they run. Agentic service delivery crossed from pilot to mission-critical across 80%+ of federal and state agencies in 2026.

  • 01Retrieval over statute, precedent, and inter-agency data for intake triage
  • 02Guardrailed agents that draft and cite — human authority preserved
  • 03Auditable decision trails, legally defensible, for every automated step
0
Gov organizations deploying AI agents (Deloitte · Salesforce, 2026)
Read the full sector brief
05 / METHODOLOGY

Seven steps. One operating system.

01 · Advise

Scope the outcome

We name the metric that has to move, and the one that can’t.

STEP 1 OF 7
02 · Advise

Architect the system

Decision surfaces, audit trails, failure modes — drawn before we write code.

STEP 2 OF 7
03 · Build

Stand up the corpus

Retrieval, graphs, evals. The boring parts that decide whether any of it works.

STEP 3 OF 7
04 · Build

Ship to production

Not a demo. The real surface, with real users, in a controlled rollout.

STEP 4 OF 7
05 · Build

Instrument and iterate

Every assumption becomes a metric. Every metric becomes a lever.

STEP 5 OF 7
06 · Deliver

Train your operators

Your team runs it. Our runbook is a handover document, not a contract lock-in.

STEP 6 OF 7
07 · Deliver

Measure the outcome

The dashboard tells you if it worked. If it didn’t, we say so first.

STEP 7 OF 7
06 / MARKET ANCHORS
Agentic gov adoption
0%
Gov organizations deploying AI agents (Deloitte · Salesforce, 2026)
Ambient clinical-doc market
$0M
Revenue 2025 · 2.4× YoY growth (AHA market scan)
Sectors served
0
eGov · Healthcare · Oil & Gas · Cities · eCommerce
Services across lifecycle
0
Advise · Build · Deliver — one operating model
07 / REFERENCE PATTERNS

How we'd build it.

Reference architectures, not past engagements. Anatomy, stack, risk controls, and the measurement plan we'd instrument from day one.

01 · eGov

Agentic permit intake

A reference architecture for drafting, citing, and routing permit applications with a guardrailed retrieval agent — officer authority preserved, every decision audit-defensible.

  • Ingest
  • Retrieve
  • Draft
  • Review
Blueprint · ready for first engagement
02 · Healthcare

Ambient clinical documentation

Reference architecture for ambient scribes — capturing an encounter, producing a reviewer-signoff note, handing off to the EHR with HIPAA-shaped audit. Benchmarked against JAMA 2025.

  • Capture
  • Transcribe
  • Structure
  • Review
Blueprint · ready for first engagement
08 / STACKPragmatic, not religious

The stack earns its keep.

Frontier models where they pay for themselves. Open-weight where latency or sovereignty demands them. Cloud where policy allows. Data platforms shaped by the corpus, not the vendor.

Models
Clouds
Data
09 / SELECTED THINKING

What we keep writing about.

01 · eGovIN PRESS

Statute-aware retrieval is not RAG with a wig on.

What institutional retrieval needs that consumer RAG doesn’t.

Forthcoming · Q3 2026
02 · HealthcareIN PRESS

Precision is a commitment to what you missed last week.

Designing reviewer surfaces that earn their keep.

Forthcoming · Q3 2026
03 · Oil & GasIN PRESS

Condition monitoring is an ops document, not a model.

Why operator-readable anomalies matter more than F1.

Forthcoming · Q3 2026
04 · Smart CitiesIN PRESS

Your dashboard is not the system. The pipeline is.

Where municipal ops actually need latency, and where they don’t.

Forthcoming · Q3 2026
05 · eCommerceIN PRESS

Catalog quality is an editorial discipline, not a feature.

Why attribute enrichment is the only semantic search that survives.

Forthcoming · Q3 2026
06 · PracticeIN PRESS

Advised, built, delivered — and why the comma after "built" is load-bearing.

The operating model of a headquarters, not a consultancy.

Forthcoming · Q3 2026
10 / ENGAGEMENT

Start with the
outcome that has
to move.

Four-week advise engagement. Fixed scope. A defensible deliverable. If the metric doesn’t want to move, we say so before you sign anything else.

Start an engagement Read the methodology
inquiries@hqscg.comLLC · EST. MMXXIVHQSCG.COM