Forsys is the Lead-to-Revenue partner for 300+ global customers including John Deere, NASDAQ, Hitachi Energy, Seagate, Robinhood, Thomson Reuters, Gartner, and Clorox — with 1,000+ specialists, Salesforce Summit + Conga Elite + Oracle Gold partnerships, and a full lineup of in-house AI products. Cloudflare's developer platform is the natural runtime for the agent infrastructure, the per-client tenancy, and the inference economics underneath every Agentforce, MCP, and Claude-powered delivery.
You've already made the hardest move: repositioning a 1,000-person Lead-to-Revenue practice around Agentforce, Claude, MCPs, agent architecture, governance, and LLMOps. The next infrastructure layer — the place those agents actually run, the place those models actually get called from, the place per-client data residency actually lives — is the Cloudflare developer platform.
Each Forsys-built AI product has a different infrastructure shape underneath. RevRamp is a migration accelerator. LexiShift is heavy document AI. RevMove is data ops at scale. AITest is parallel evaluation. Each one maps cleanly onto a Cloudflare primitive as its natural runtime.
A CPQ migration is a controlled-burn data migration: schemas, products, price rules, approval flows, all moving from one Salesforce CPQ to another. Every migration has its own concurrency, its own validation rules, its own rollback path.
The crown jewel use case — Select Water's 3,200 legacy contracts migrated into Conga CLM, 80% manual effort reduction. This is heavy document AI: OCR, entity extraction, clause classification, dedupe across thousands of PDFs per client.
DataOps means moving millions of records between sandboxes, production, dev, staging, and analytics — with field-level transforms, validation, masking, and idempotent retries. Today it's typically Postgres + a manual job runner.
M&A means merging two Salesforce orgs: deduping accounts, reconciling territories, harmonizing fields, mapping security models. Each merge is a long-running, multi-step, audit-heavy pipeline with mandatory replay-ability.
AI-driven testing means generating test cases, running them in parallel against a Salesforce or Oracle environment, classifying failures, and producing remediation suggestions. Each run is hundreds-to-thousands of parallel inference + execution units.
Custom intelligent agents per client — Agentforce extensions, MCP-server-backed Claude integrations, Salesforce data 360 agents. Each customer agent has its own auth, its own model preferences, its own audit trail, its own budget.
An AI Agent for a Forsys client isn't a chatbot — it's a workflow with memory, tools, data access, and an audit trail. Cloudflare's developer platform gives you exactly the primitives needed to ship it: edge-resident routing, per-client tenancy, semantic retrieval, model attribution, and durable state.
Forsys is paying for inference twice today: once for the in-house AI products (RevRamp, LexiShift, RevMove, AITest), and once for the client-facing Agentforce / Claude / MCP work each engagement requires. AI Gateway turns both into one observable, attributable, cacheable surface — with per-client cost lines that map directly to billable rate cards.
A HiTech client cares about velocity. A Financial Services client cares about compliance and audit. A Healthcare client cares about HIPAA and PHI handling. Manufacturing cares about supply-chain data residency. SaaS & Subscription cares about ARR-grade billing reliability. The shape of "an AI Agent for client X" varies by industry — the infrastructure boundary should be enforced, not configured.
Every row is sourced from public DNS records, the forsysinc.com apex TXT, and HTTP response headers. The Cloudflare column is additive — nothing requires ripping out Sucuri, the platform partnerships, or any client-facing investment you've already made.
You repositioned around Agentforce + Claude + MCPs. The website says it explicitly: "AI Native, AI Fast." That repositioning is the hardest part — and the infrastructure underneath those new offerings is the next strategic decision. Picking the runtime now, while the AI product roadmap is still being defined, is much cheaper than re-platforming once 100 client deliveries are mid-flight.
You already pay Anthropic and OpenAI. Both are verified on your apex TXT record. AI Gateway in front of both is the lowest-friction observability + cost-control upgrade available — no model migration, no prompt rewrite, just a header change. Per-client attribution from request one.
The Cloudflare + Oracle partnership is a wedge for joint pursuits. Oracle is one of your three strategic platform partners. Cloudflare is now also an Oracle partner with the "Powered by Cloudflare, Sold by Oracle" program — AppSec/WAAP via OCI Marketplace, funded by Oracle Universal Credits, Bandwidth Alliance for zero egress, Forrester 238% ROI. That partnership opens up co-sell motions on every Oracle Fusion engagement you ship.
The interesting conversation is which of these primitives is closest to your current sprint: AI Gateway behind Anthropic + OpenAI, Workers for Platforms behind AI Agents deliveries, Vectorize for LexiShift's clause matching, or the Cloudflare + Oracle co-sell motion for joint Fusion pursuits. I'd rather hear what's actually on your roadmap than guess.