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    Results

    Municipal experience and case studies

    Selected accomplishments from Dr. Steven Sierra Alcabes's work in municipal government, spanning utility billing, process improvement, staff development, and AI implementation.

    Measured results

    Each figure follows the definition and measurement basis described in its case study.

    Utility revenue recovered since October 2024
    $8.1M
    Billed revenue, not cash collected.
    After-hours calls answered
    66% to 86%
    Share of calls outside weekday business hours that were answered, August 2025 compared with August 2026.
    Shorter permitting cycle in a pilot
    36%
    From 107 to 69 days in a Lean Six Sigma pilot sample of oil and gas permits.

    Five case studies

    1. Revenue recovery

      Utility billing diagnostic and recovery

      A billing audit and revenue recovery effort with the city's Utility Billing, Utilities, and IT teams.

      Read the case study: Utility billing diagnostic and recovery
    2. Resident service

      A municipal AI assistant for web, phone, and text

      Grounded answers in multiple languages through a website widget, an after-hours phone assistant, and two-way SMS.

      Read the case study: A municipal AI assistant for web, phone, and text
    3. Process improvement

      Oil and gas permitting pilot

      A Lean Six Sigma pilot that redesigned the permitting workflow across Legal, Engineering, Fire, and Development Services.

      Read the case study: Oil and gas permitting pilot
    4. Process improvement

      Procurement process improvement

      A DMAIC analysis of 68 procurement projects and the changes that followed.

      Read the case study: Procurement process improvement
    5. Staff capability

      Lean Six Sigma capability building with verified ROI

      A CSSC-accredited program, White Belt through Black Belt, with projects evaluated on a three-tier ROI framework.

      Read the case study: Lean Six Sigma capability building with verified ROI

    Case study 1 · Revenue recovery

    Utility billing diagnostic and recovery

    Experience from Dr. Steven Sierra Alcabes's municipal government role.

    Recovered since October 2024
    $8.1M
    Billed revenue, not cash collected.
    Recovered in fiscal 2026
    $4.9M

    The work

    Dr. Steven Sierra Alcabes led a billing audit and revenue recovery effort with the city's Utility Billing, Utilities, and IT teams.

    Accounts that were billed incorrectly or not billed were corrected, and meters that had stopped or slowed were replaced.

    The result

    $8.1M in utility revenue recovered since October 2024, including $4.9M in fiscal 2026. Figures are billed revenue, not cash collected.

    The recovery is one part of a more than $24 million increase in annual utilities revenue from fiscal 2024 to fiscal 2026; rate changes, city growth, and billing timing account for the rest.

    Utility Billing Audit Dashboard · Program impact · demonstration data
    A program impact report with measured and projected figures and the method stated for each.
    Exhibit 1. Demonstration data for the fictional City of Amberline, not a client result.

    The reporting approach, as a product

    The Utility Billing Audit Dashboard reports program results the same way: every figure with its method, and recovery kept separate from rate changes and growth. The screen shown uses a fictional city.

    See the dashboard
    Implementation details
    • Billing data reconciliation
    • Systemic error pattern detection
    • Root cause analysis and correction
    • Standardized correction procedures

    This work is better explained by forensic diagnostics, process mapping, and ROI modeling than by any single software product. C.U.R.E. Utilities, built by CivAIgentics and delivered in partnership with Syntegras, LLC, is the product expression of the same recovery logic for utilities.

    Case study 2 · Resident service

    A municipal AI assistant for web, phone, and text

    Experience from Dr. Steven Sierra Alcabes's municipal government role.

    After-hours calls answered
    66% to 86%
    Share of calls outside weekday business hours that were answered, August 2025 compared with August 2026.
    Conversations in five months
    7,900
    About 7,900 conversations by phone and on the website, April 26 to September 28, 2026.

    The work

    A production municipal AI assistant developed by Dr. Steven Sierra Alcabes in his municipal government role, available to a community of approximately 140,000 residents through a website widget, an after-hours phone assistant, and two-way SMS.

    It provides grounded answers around the clock in five languages (English, Spanish, Vietnamese, Chinese, and Arabic), using xAI Grok realtime voice.

    • Website widget for resident text and voice service questions
    • After-hours phone coverage across department lines, each answered with the right department identity, duty-hours awareness, and server-enforced transfer allowlists
    • Two-way SMS for trash days, verified bills, permit status, and general city questions
    • Identity-verified utility account and permit lookups, plus public-records property answers from the city GIS
    • Privacy-safe QA dashboard for continuous improvement

    The result

    With the assistant answering after hours, the share of after-hours calls answered rose from 66% to 86% in a year, and residents held about 7,900 conversations with it by phone and on the website in five months.

    Recognition

    • Smart 20 Award, Smart Cities Connect, 2026. One of 20 projects selected.
    • AI 50 Award, Center for Public Sector AI, 2026. Projects category.
    • Finalist, IDC Smart Cities North America Awards, 2026. Digital Equity and Accessibility category.
    Architecture and quality review

    The assistant uses xAI/Grok for text, TTS, STT, and native realtime voice, with deterministic local policies, city directory grounding, xAI Collections, live code-of-ordinances retrieval, identity-verified account and permit lookups, public-records property lookups from the city GIS, and official-site fallback controls.

    The xAI migration lowered the voice-unit cost profile and improved real-world response latency compared with the prior chained voice stack.

    What makes the assistant useful is the engineering around resident service: workflow, grounding, handoff, safety, latency, cost, and quality review.

    The quality dashboard uses anonymized interaction summaries, intent, department, sentiment, outcome, quality signals, and counts rather than raw transcripts or raw audio. Neighborhood-level statistics are served as aggregates only, with privacy floors that make per-address questions unanswerable by design.

    This assistant is the reference case for our AI implementation work: multilingual service, workflow-mapped knowledge, realtime voice, a phone assistant, and privacy-safe QA reporting.

    See AI implementation

    Case study 3 · Process improvement

    Oil and gas permitting pilot

    Experience from Dr. Steven Sierra Alcabes's municipal government role.

    Shorter permitting cycle in a pilot
    36%
    From 107 to 69 days in a Lean Six Sigma pilot sample of oil and gas permits.

    The work

    A Lean Six Sigma pilot redesigned the oil and gas permitting workflow without weakening safety, compliance, or public oversight. It aligned Legal, Engineering, Fire, and Development Services around a shared review cadence.

    The result

    A 36% shorter cycle in the pilot sample, achieved within statutory constraints and in full compliance with state regulations. The gain has not yet been extended to all oil and gas permits.

    Implementation details
    • Cross-departmental governance charter
    • Parallel review orchestration
    • Statute-constrained optimization
    • Standardized SLAs with escalation paths

    The value here comes from queue analysis, workflow redesign, and cross-functional operating discipline.

    Case study 4 · Process improvement

    Procurement process improvement

    Experience from Dr. Steven Sierra Alcabes's municipal government role.

    Shorter average procurement cycle
    40%
    From 78 to 47 days.
    Days, best case in Q3 2025
    23

    The work

    A DMAIC analysis of 68 procurement projects found that the solicitation development and posting phases consumed 59% of total cycle time. The response was standardized templates, early purchasing involvement, e-procurement automation, and policy aligned with SB 1173's raised competitive bidding threshold.

    The result

    The average procurement cycle dropped from 78 days to 47 days, with best-performing projects completing in as few as 23 days, freeing departments to deliver projects faster.

    Implementation details
    • Standardized IFB/RFP templates with auto-populated boilerplates
    • Early purchasing involvement and cross-functional teams
    • E-procurement platform integration (Bonfire)
    • Real-time KPI dashboards with statistical process control
    • Aligned with SB 1173 ($100K threshold effective Sept 2025)

    Procurement acceleration here is a process-engineering result supported by templates, operational metrics, and disciplined execution.

    Case study 5 · Staff capability

    Lean Six Sigma capability building with verified ROI

    Experience from Dr. Steven Sierra Alcabes's municipal government role.

    Verified annual savings
    $547,892
    Tier 1 (85-95% confidence)
    Top project ROI
    7,443%
    Average payback period
    <3 mo

    The work

    A Lean Six Sigma Green Belt program embedded DMAIC execution directly into live municipal operations. The full program, White Belt through Black Belt, is now accredited by the Council for Six Sigma Certification (CSSC).

    Projects spanned multiple departments and were evaluated using a research-validated, three-tier ROI framework to ensure transparency, confidence calibration, and audit defensibility.

    Council for Six Sigma Certification (CSSC) Accredited Program Seal

    1st CSSC-Accredited Municipal LSS Program in Texas. The program was built and accredited so that others could be certified too.

    The result

    A self-sustaining municipal improvement capability that delivered measurable financial returns in under 90 days: rapid payback, verified savings, and a scalable internal capability for continuous improvement.

    Three-tier value framework and project details

    Aggregate value by tier

    Tier 1: Verified
    $547,892
    Documented savings with baseline/improved metrics
    85-95% confidence
    Tier 2: Projected
    $186,450
    Calculator-derived value using validated assumptions
    70-85% confidence
    Tier 3: Strategic
    $294,800
    Risk avoidance, external impact, intangibles
    60-80% confidence
    Total aggregate value
    $1,029,142

    Top performing projects by department

    • Fire/Animal Services$228,888Shelter length-of-stay reduction67% cycle time reduction
    • IT Security$94,960Phishing risk awareness program85% vulnerability reduction
    • Development Services$92,625Permit denial rate optimization57% defect reduction
    • Planning$86,950Development review cycle time14-day cycle reduction
    • Utilities$64,528Meter reading optimizationQueue efficiency gains

    External economic development impact

    Projects that accelerate permitting, development review, and business licensing create value beyond internal operations:

    Contractor time savings
    $1.2M
    Developer financing avoided
    $250K
    Business acceleration
    $162K
    Total external impact
    $1.6M+

    Calculator methodology

    PCE (28 projects) • Six Sigma COPQ (15) • Queue Theory (12) • Risk Avoidance (6)

    Explore the tools
    Capability details
    • Workforce-embedded process improvement at scale
    • Research-validated ROI and value modeling
    • Tiered confidence frameworks for public-sector decision-making
    • Cross-departmental DMAIC execution
    • Sustainable internal capacity vs. consultant dependency

    Verified savings exclude projected and strategic value.

    This model replaces episodic consulting with institutional capability.

    CivAIgentics Learn is the product expression of this work: structured cohort delivery, AI-scoped instructional support, and verifiable credentialing for capability building.

    See CivAIgentics Learn

    Small-business engagement

    Oscar A. Barber: website, booking flow, and AI assistant

    This live reference shows the small-business side of CivAIgentics: a service-business website, client-provided photo integration, booking system architecture, voice and text AI assistant workflows, analytics attribution, and an owner-facing dashboard design.

    Facing a similar challenge?

    Tell us about the workflow, the people involved, and the outcome you need.

    Or call 432-315-3734