Build · Flagship · Agentic Operations
One team. Five disciplines. Zero hand-offs.
A senior-only POD that runs alongside your operation, overlaying agentic AI on every workflow that costs you money, time, or accuracy. Built to transform, not just modernize.
- One POD
- Operations · Business Process · AI · Data Science · Training
- Overlay
- Agentic AI on your existing workflows
- Transform
- Cost out · Operations up · Audit-ready
The GSTi thesis
The gap isn’t ambition or budget. It’s translation.
Complex regulated operations sit on rich, automatable data. What’s missing is the layer between deep domain expertise, real business-process discipline, and modern agentic AI engineering. GSTi closes that gap with a single POD. Not a vendor stack. Not a consulting deck. A team.
See it applied in your industryBuilt for you if…
- You run a complex, regulated operation.
- Your backlog touches every customer-facing outcome.
- You want agentic AI overlaid on real workflows, not pilots.
- You'd rather hire one senior team than five separate vendors.
02 · The POD
One team. Five disciplines. Zero hand-offs.
Senior practitioners only, C-suite operating experience required, wired into your COO/CIO operating rhythm.
Operations Domain Lead
Owns your operations stack end-to-end, from intake and transactions to case handling, exceptions, recovery, and customer and partner services. Learns your domain before reading the manual.
Business Process & Operations Architect
Maps your customer, transaction, configuration, partner, and back-office workflows end-to-end. Identifies waste, leakage, and automation candidates, and translates COO/CIO priorities into measurable operating outcomes.
Agentic AI Engineer & Architect
Designs, builds, and deploys autonomous AI agents and orchestrated RPA on AWS Bedrock, Azure OpenAI, or open-source. RAG over your data and adjacent systems, with guardrails, evals, and audit-ready logging built in.
Sr. Data Scientist
Stands up the data-science environment. Predictive models for leakage, fraud, customer experience, and quality, with KPI feeds wired straight into the agent layer.
AI Training Staff · Enablement Lead
Dedicated workforce enablement: board workshops, role-based modules, engineering bootcamps, acceptable-use attestation, and certification tracking. Turns policy into behavior across every employee.
Accountable leader
Managing Principal
One throat to choke across all five disciplines, reporting directly to your COO/CIO. Senior every seat, no bait-and-switch, no junior swap-outs, no “resource will join next sprint.”
Embedded
The POD sits inside your operating rhythm: daily standups, weekly COO review, monthly KPI scorecard.
Senior-Only
Every seat is filled by a practitioner with scar tissue. No bench filler, no learning on your dime.
Compounding
Each shipped workflow leaves a model, an agent, and an environment your team owns. Every quarter, more lift.
Governed
AI risk register, model-risk standard, and NIST AI RMF alignment baked into delivery. Audit-ready by default.
03 · What we transform
Your workflows, overlaid with agentic AI.
We don’t replace your teams. We overlay autonomous agents on the work you already do, quietly, governably, measurably.
Configuration & Setup
- Agentic triage of configuration tickets
- Product and benefit setup with policy-fit checks
- QA tie-outs · aging surveillance
- Ticket → system → resolution reconciliation
Transactions & Integrity
- Front-end rejection clustering & root cause
- Adjudication and processing assist
- Recovery and leakage detection
- High-risk transaction analytics
Customer Experience
- Contact-center copilot · 24/7 first contact · CSAT uplift
- Service-gap prioritization
- Outreach orchestration on live data
- Churn and attrition early-warning models
Partner & Network
- Partner and vendor data quality & reconciliation
- Document intake & verification
- Network and coverage surveillance
- Contract-change impact modeling
Compliance & Audit
- Evidence harvesting across the SaaS estate
- Regulatory packet drafting
- POA&M automation · control attestation
- Audit-prep packets with citations
Back-Office & IT Ops
- Service desk: triage, fix, escalate
- Cloud-cost FinOps · rightsizing · anomaly
- Auto-remediation & incident response
- Identity hygiene · drift detection
Fraud, waste & anomaly detection
Loss, caught before it leaves.
Our investigations platform layers on top of your existing transaction workflow, catching fraud, waste, abuse, and collusive networks before money goes out the door, not after. Every case is audit-ready and defensible by regulator and by court.
Pre-transaction audit
- Overbilling · duplication · ghost-entity detection
- Impossible-event & duplicate surveillance
- Audit-ready decisions with source citations
- Intervention before settlement, not post-loss recovery
Network pattern detection
- Graph analysis of actor · referral · vendor networks
- Behavioral fingerprints across transaction patterns
- Collusion · ring · shell-entity detection
- Risk-scored watchlist, refreshed daily
Case generation
- Case file assembled when the network flags, not after
- Suspect-network narrative + precedent linking
- Defensible documentation for appeals · litigation
- Regulator-ready audit trail per case
The data-science environment
We don’t just analyze, we build the place your analytics live. A cloud-native platform on Azure Synapse, Databricks, or Snowflake, with compliant pipelines from your source systems into a governed analytics layer: feature stores, model registries, drift detection, eval harnesses, and a COO/CIO dashboard that rolls every workflow, agent, and model into one operating view. It isn’t an output, it’s the foundation everything else compounds on.
Pillar · Compliance
Audit-ready by default.
- AI risk register · model-risk management standard
- NIST AI RMF mapped to your sector's regulators
- Per-agent governance docs · reasoning-trail logging
- POA&M automation · evidence-harvesting agents
- Regulator-facing review packets, pre-assembled
Pillar · AI Training
Boardroom to keyboard.
- Board & C-suite AI workshops · governance literacy
- Operating-leader bootcamp · use-case discovery
- Engineering hands-on · Bedrock · RAG · guardrails
- Workforce role-based modules · acceptable use
- Per-employee attestation · audit-ready evidence
04 · Outcomes that compound
Every agent has a KPI. Every dollar has a tie-back.
Cost Out
Configuration backlog cleared faster, manual transaction rework reduced, service-desk tier-1 automated, cloud spend rightsized, audit-prep hours collapsed. Each reduction tied to a baseline and a measured delta, not a vendor promise.
Operations Up
SLA hit-rate, CSAT, first-pass acceptance, outreach precision, and quality-gap closure all up; cycle-time down. Each lever traceable to a named POD member and a dashboard tile.
Data Science Built
A governed, compliant analytics environment your team owns when we leave. Models in production, with feature store, drift, and performance monitoring on a defined cadence.
Audit & Regulator Ready
AI risk register, model-risk standard, NIST AI RMF alignment, and a complete evidence trail with per-agent governance documentation, packaged for internal audit and regulator review.
How we engage
Land & Map
The POD lands, maps your configuration, transactions, and operational data, picks the top 3 highest-leverage workflow targets, and locks baseline KPIs.
Build & Ship
The data-science environment stands up. The first agentic workflow ships in 4–6 weeks; subsequent workflows ship every 2–3 weeks. KPI-tied, governed, monitored.
Scale & Hand-Over
Workflows compound. Your team is trained, certified, and owning the day-to-day. GSTi stays in advisory or runs the next wave. Either way, a defensible exit.
managing regulated operations
C-suite leader roles held
Women in Tech
by design, cyber & risk
20+ years managing complex regulated operations across five C-suite leader roles: CIO, CTO, CISO, EVP, Managing Principal. This isn’t a consulting firm pretending to understand your operations. This is the team that ran them.
Start the conversation
One senior team, wired into your operating rhythm.
Bring the POD alongside your operation. We’ll map the top three highest-leverage workflows in the first two weeks.