Enterprise architecture since 2000
Trinity designs the data, integration and Salesforce foundations that make AI actually deliver, then builds them with developers the architect vetted himself. Vendor-honest, and answerable to a business case rather than a demo.
The stack we architect
Trinity fields architect-vetted developers
75 to 100, onshore and offshore, across all four layers
Enterprise architecture is the through-line. Skip it and every layer above becomes a rewrite.
2000
Founded. Still principal-led.
20+ yrs
Salesforce technical architecture
All clouds
Sales to Revenue to Agentforce
Fortune 100
Repeat top-100 and public-sector programs
75–100
Vetted developers, onshore and offshore
We start from the workflow, not the model. Recent work: Agentforce alongside MuleSoft Intelligent Document Processing, ingesting RFPs and scoring them for confidence so bid/no-bid calls happen in hours rather than weeks. Grounding, evaluation and cost control go in before anything touches a customer.
Target-state architecture, platform selection, build-versus-buy, and a sequenced roadmap a board can actually fund. Middleware bake-offs (MuleSoft, Boomi, SnapLogic, webMethods, Informatica) argued on your constraints, and canonical data models that survive the next acquisition.
Twenty years in Salesforce technical architecture, from the first Force.com object models to Revenue Cloud Billing and Agentforce. Apex, Lightning Web Components, Flow, Omnistudio and integration patterns, plus the unglamorous work: org merges, org health assessments and migrations.
MuleSoft-led integration between Salesforce, SAP, Oracle and the systems nobody wants to touch. REST Composite API, platform events, change data capture, and canonical models, so the tenth system costs less to add than the second. Java/J2EE, Spring MVC and .NET behind it.
Snowflake and Databricks medallion architectures, Salesforce Data Cloud ingestion, and master data strategies that produce one golden record instead of six opinions. Lineage and quality rules first, so the answer a model gives is one you would sign your name to.
Clients are not named. Sector, role and architecture are accurate.
Technical architect for real-time payroll ingestion into Revenue Cloud Billing, with a custom REST API that fans out to internal calls and returns multi-model invoice output. Oversaw a Python migration of client data into Service Cloud.
Enterprise architect for RFP ingestion and confidence scoring using Agentforce alongside MuleSoft Intelligent Document Processing. Designed the MuleSoft logical layer and the Salesforce Flow and REST approach behind bid/no-bid decisions.
Led a Snowflake team on a medallion architecture unifying six systems, with MuleSoft orchestrating Oracle Opera PMS and Shopify into Salesforce via REST Composite API, a canonical model underneath, and a Cortex AI master-data strategy producing one golden guest record.
Integration architect for SAP and legacy work-management data feeding Salesforce Field Service dispatch and scheduling. Ran a 50-plus multi-vendor team, onshore and offshore, as product owner.
Technical program manager and architect for a housing-lottery program on Public Sector Solutions and Experience Cloud, built on Omnistudio with the Business Rules Engine driving applicant outcomes.
Technical architect for two US state vaccine-management builds on Health Cloud and Government Cloud Plus, leading 50 developers and testers through third-party integrations with partners in India and Australia.
Salesforce, all clouds
Most orgs do not have a Salesforce problem. They have five clouds bought at different times by different people, and nobody holding the seam. Trinity holds the seam.
Salesforce services →Pipeline, CPQ-adjacent, forecasting
Case, omni-channel, knowledge
Journeys, consent, deliverability
Unification, segments, activation
Partner & customer portals
Scheduling, mobile, assets
Billing, quote-to-cash, CPQ
Sales agreements, demand scheduling
Gov Cloud Plus, public health programs
Omnistudio, business rules engine
B2B and B2C roadmap
Grounded agents, guardrails, evals
We read the org, the integrations and the data before we say anything. You get a current-state picture, the real risks, and a shortlist of what AI can and cannot do here yet.
Target state, sequencing, and the trade-offs written down with names on them. Costed, phased, and scoped so the first phase pays for the second.
We build it or steer the team that does, then hand over documentation your own people can run from. The goal is that you stop needing us.
Delivery at scale
An architect-vetted shop of developers, testers and admins, onshore and offshore, on your program in weeks rather than quarters. Seventy-five to a hundred of them, and not one reaches you without Jeremy having vetted them himself. That is not a marketplace login.
Developers, admins and testers who report into your leads and work your process. You interview them. You keep them as long as the work lasts.
A scoped build with Trinity accountable for the result, not the timesheet. The architecture, the team and the handover come as one thing.
Every developer is vetted by the person who designed your architecture. He knows what the build actually needs, so he knows who can do it. Nobody lands on your program sight unseen.
The person who scoped the work stays on it. Multi-vendor teams of fifty and more have run this way, across US state health programs, utilities and Fortune 100 rollouts.
Jeremy McInerney
Owner & Principal Consultant
Founded Trinity in April 2000 and has architected since across fintech, hospitality, utilities, public sector, healthcare and life sciences, manufacturing, retail, financial services and telecommunications, including repeat engagements at Fortune 10, 15, 50 and 100 companies, and delivery teams of 50-plus across the US, India and Australia. You get that experience directly. The architect who scopes your work stays on it, and the build team scales behind him.
People first. Trinity’s mission since day one: build lasting business relationships by delivering quality solutions. That has not needed rewriting in twenty-six years.
Bring one problem: a stalled AI pilot, a Salesforce org nobody trusts, an integration that keeps waking people up. The first conversation costs nothing and ends with a straight answer.