The Headless 360 Era Needs Partners Who've Already Built Salesforce in Production.
TDX 2026 made Salesforce programmable end-to-end — every object, workflow, and business rule now exposed as an API, MCP tool, or CLI command. We've been building production Salesforce systems for 15 years. Now we build agents on top of them.
Agentforce Vibes 2.0. Agent Script. Data 360 context layer. Slack as the agentic front door. We're already building with it.
Platform
Product visuals reference Salesforce UI patterns; assets live under /public for easy swaps.
Salesforce just became the infrastructure layer for the agentic enterprise.
For two decades, Salesforce was something you used.
After TDX 2026, it's something agents build on.
Headless 360 exposes the entire platform — Data 360, Customer 360, Agentforce, Slack — as APIs, 60+ new MCP tools, and 30+ preconfigured coding skills. Agentforce Vibes 2.0 brings multi-model coding (Claude Sonnet 4.5, GPT-5, Salesforce models) with full org metadata awareness. Agent Script — now open source — lets teams define exactly when an agent reasons and when it follows deterministic business logic. The Agentforce Experience Layer separates what an agent does from where it renders, so one definition deploys to Slack, Teams, Mobile, ChatGPT, Claude, and any MCP-compatible surface.
The message from Salesforce is unambiguous: the platform is now the substrate agents build on, not the app your team logs into.
That's a generational shift. And it punishes two kinds of partners: pure-play AI shops without Salesforce governance depth, and traditional SI partners still framing AI as “Einstein features we can enable.” Nanostuffs sits in neither camp — Salesforce Partner since 2011 with 350+ implementations, and an AI-first engineering firm delivering production LLM systems today.
$ sf data query --context Account --reason "agent routing"
$ sf flow invoke ApprovalChain --record $CASE_ID
$ sf experience publish --surface slack — ok
The rare combination the agentic enterprise actually needs.
Most firms can do Salesforce. A growing number can do AI. Very few can do both in the same codebase, with the same delivery discipline, and with the governance your CIO will actually sign off on.
15 years of Salesforce engineering
Sharing rules, approval chains, governor limits, managed packages, multi-org strategies, real CI/CD. The context accumulated over 350+ implementations is what makes an agent trustworthy in production.
AI-first delivery, today
We are already building with Agentforce Vibes 2.0, Claude Code, Cursor, and MCP servers wired into live Salesforce orgs. Our team operates in the exact environment Salesforce announced at TDX.
Production obsession
We do not deliver demos. Every engagement targets a metric your CFO will recognize: 50% loan processing time reduction (FinTech, 60 days), 65% support ticket reduction (SaaS, 60 days), 31% average manual hours saved per month across AI engagements.
Demo to production. Complexity to clarity. Cost to return.
That's how we measure every engagement.
Our capability surface, mapped to the new Salesforce architecture.
Salesforce now organizes the platform as interconnected layers. We build across all of them — AI stays embedded in the platform, not bolted on the side.
Agent Script
reason(intent)
deterministic(step)
guardrail(check)
handoff(agent)
Salesforce PlatformAgency Layer — Agentforce + Agent Script
We design, build, and govern Agentforce agents using Agent Script — defining precisely where the agent uses LLM reasoning and where it must follow deterministic business logic. Guardrails, subagents, variables, and transitions are declared up front, not discovered in production.
Numbers from production, not pilots.
Loan processing time reduced (FinTech, 60 days)
Support tickets reduced (SaaS, 60 days)
Avg. manual hours saved / month (AI engagements)
Salesforce implementations since 2011
Continuous Salesforce partnership discipline
Referenceable client engagements across SMFG India Credit, Hetero Drugs, Pidilite, Thermax, Godrej Agrovet, Hotstar, Vida, and REC.
Fixed scope. Clear timeline. Production output.
We run this as a structured sprint — not an open-ended consulting engagement.
Headless 360 Readiness & Org Assessment
We audit your Salesforce org against the new agentic architecture: data model health, existing automation, Flow debt, integration surface, and AI-readiness of your Data 360 foundation. Output: a prioritized map of highest-ROI agent opportunities.
Agent Design & Agent Script Definition
We design the agent behavior in Agent Script — defining reasoning boundaries, deterministic logic, guardrails, and the exact signals to capture. We specify where outputs surface: Next Best Action, Experience Layer components, Slack, or external clients.
Build, Integrate, Govern
We build inside your org using Agentforce Vibes 2.0 and the 60+ MCP tools released at TDX. Agents inherit your existing approval chains, sharing rules, and compliance controls — we don't rebuild them. CI/CD runs through DevOps Center MCP.
Test, Train, Go-Live
We run LLM-powered safety reviews, A/B test agent variants where it matters, validate against real data, train your team, and go live with observability wired in from day one. Session traces feed back into authoring so the agent improves after launch, not just before it.
Every engagement includes
Production artifacts your team can review, govern, and extend.
Assessment
- Headless 360 readiness report with prioritized agent opportunity map
Agent definitions
- Agent Script definitions for every agent, version-controlled and reviewable
- Agentforce agent configuration or custom coding agent, connected to your live org
Org integration
- Data 360 context wiring — agents reason over real business context, not stale extracts
- DevOps Center MCP integration for programmatic CI/CD
Experience layer
- Experience Layer components that render across Slack, Mobile, and external MCP clients
- Next Best Action, lead scoring, or churn prediction implementations, as fit
Observability
- Observability and session trace dashboards
- Post-go-live support with production metrics reporting
Enablement
- Team enablement on Agent Script fundamentals and agentic development patterns
Who It's For
Who This Is For
CTOs, VPs of Engineering, and RevOps/CX leaders at mid-market enterprises already running Salesforce — who see the Headless 360 shift clearly and want a partner who can execute against it without ripping out what works.
Who This Is NOT For
Teams evaluating whether to adopt Salesforce. Teams looking to replace Salesforce with a different platform. Teams looking for another Einstein-enablement exercise. This service is for organizations who've already invested in Salesforce and now want to turn it into the agentic backbone of their business.
Industries we work with often
Frequently Asked Questions
The agentic enterprise isn't a roadmap item anymore. It's a build decision.
TDX 2026 turned Salesforce into an agentic platform. We turn it into your competitive advantage.
Book a Headless 360 Readiness Call30 minutes. No deck. We'll tell you where the ROI is and where it isn't.