From the Utility Management edition of November 7, 2026
Fulton County, Georgia RFP 26RFP1645291A-ST seeks an AI-powered digital water operations platform (proposals due 13 Nov 2026)
Fulton County Government, Department of Public Works (Georgia) · County water utility operations · Fulton County, Georgia (US)
- Publisher
- Fulton County Purchasing (RFP document via public bid mirror)
- Original publication
- 2026-10-09
- Source retrieved
- 2026-11-08
- Event date
- 2026-11-13
What happened
Fulton County Public Works issued RFP 26RFP1645291A-ST on 9 Oct 2026 for an AI-powered digital water operations platform, with proposals due 13 Nov 2026 at 11:00 a.m. Required capabilities include integrating GIS, SCADA, iHydrant, KETOS and hydraulic modelling into one real-time platform; AI-driven decision support to evaluate operational decisions and predict system behaviour; scenario modelling for valve operations and shutdowns; automated valve identification for pipe isolation with service-impact visualisation; real-time SCADA visualisation; capacity planning; and onboarding support for new staff. Implementation must cover data ingestion, model calibration, workflow configuration, training and SOPs; support terms require cybersecurity compliance with County IT standards and SLAs. Cost carries 10 evaluation points; the initial term ends 31 Dec 2027.
Why it matters
A concrete U.S. county water procurement that frames AI as decision support layered on existing GIS, SCADA, hydrant and water-quality sensor data. It shows how SLED buyers are writing requirements (integration, calibration, training, SLAs, County cybersecurity standards) and is current because proposals are due next week.
Evidence and measured results
RFP PDF (issued 9 Oct 2026) retrieved from a public bid-document mirror; County Objectives, Scope of Work and evaluation sections inspected. This is a solicitation stating intended requirements, not an evaluation of outcomes; no award, vendor or budget figure is stated in the inspected text. Evidence class chosen as closest government primary-document category.
Limitations and uncertainty
Solicitation only; outcome unknown and requirements may change by addendum. Retrieved from a third-party mirror rather than BidNet Direct (registration required). No budget stated in inspected text.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-11-07; this does not change the original publication date. Each role follows the same checklist so takeaways compare across sources.
Sales
Role takeaway
- Customer problem
- Fragmented water operations data makes shutdown planning, situational awareness and onboarding slow.
- Stakeholders
- Public Works director
- Water operations manager
- Engineering/planning
- County IT security
- Purchasing
- Discovery questions
- How accurate is GIS valve data today?
- Which SCADA tags and sensors would feed the platform?
- Who approves acting on AI scenario outputs?
- Value hypothesis
- Federating existing data with calibrated models can speed shutdown planning and onboarding; magnitude is unproven.
- Potential engagement
- Requirements/evaluation support or post-award integration and calibration assurance.
- Unsupported claims
- Any measured efficiency gain
- Award outcome or vendor
- Budget size
Pre-sales engineering
Role takeaway
- Fit
- Mid-to-large municipal water utilities with SCADA, GIS and hydraulic models already in place.
- Architecture and integration
- Platform ingests GIS, SCADA, iHydrant and KETOS feeds plus hydraulic model; AI/scenario layer advises operators.
- Prerequisites
- Clean GIS valve/main data
- Calibrated hydraulic model
- SCADA data export path
- Constraints
- Solicitation-stage evidence
- General cybersecurity language only
- Proposals due 13 Nov 2026
- Security
- Specify read-only SCADA integration, segmentation, logging and County IT standard alignment.
- Proof of value
- Model calibration vs field pressure data
- Isolation plan validation on sample mains
- Operator usability test with new staff
Delivery
Role takeaway
- Work
- Integrate data sources, calibrate models, configure workflows, train staff, write SOPs.
- Dependencies
- Vendor selection
- GIS data quality
- SCADA access approvals
- Ownership
- Fulton County Public Works operations with County IT.
- Skills and adoption
- Role-based training for operations, engineering and field personnel.
- Governance checkpoints
- Data-integration security review
- Calibration acceptance
- Go-live approval for AI decision support
- Acceptance criteria
- Proposed: model calibration within agreed error bands
- Proposed: isolation plans validated on sample mains
- Proposed: SOP defines human approval for field actions
- Risks
- Poor valve data
- Vendor lock-in
- Overreliance on uncalibrated predictions
Implementation considerations
Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.
Architecture and integration
What must connect, and where does the AI sit in the workflow?
Requires a unified operational layer federating GIS, SCADA, iHydrant (hydrant pressure monitoring), KETOS (water-quality sensing) and hydraulic models; AI and scenario tools sit above live SCADA data, implying OT-to-platform data flows.
Governance
Who approves, reviews and stays accountable for outcomes?
AI is framed as decision support with scenario evaluation before field action; County will need policies for who acts on AI recommendations and how model calibration is validated.
Security and privacy
What data, permissions and controls need testing?
Only general 'cybersecurity compliance aligned with County IT standards' and data security measures are requested; no explicit OT segmentation, read-only SCADA integration or AI model governance requirements appear in the inspected scope.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
Explicitly seeks interfaces that reduce onboarding time and help new personnel understand network behaviour, plus training for operations, engineering and field staff.
Procurement
What should contracts, pricing and exit terms secure?
Competitive professional-services selection with cost at 10 points, local and SDVBE preferences, multi-year renewals; vendors must show municipal water references and integration methodology.
Operating model
Which teams own the service once it runs?
Moves shutdown planning, valve isolation and scenario analysis into a shared platform used across operations, engineering, planning and utility locators.
Publication history
- 2026-11-07Utility Management · Issue 105 resources
Stable resource ID: fulton-county-ga-rfp-ai-digital-water-operations-platform-2026