AI readiness assessment
Two weeks. Which processes are AI-shaped, which data can ground them, what it will cost to run, and what to build first. Ends in a document, not a demo.
Capabilities
Conquer the Cloud. Again.
Five practices, one architect, and seventy-five to a hundred developers behind him, every one vetted personally. Each practice is sold on its own, but they are priced and sequenced assuming you will eventually need the ones underneath it. If you only need one, say so. We will scope only that.
01
AI Solutions
Most AI pilots die of a data problem wearing a model costume. We find that out in week one, not month nine.
Agentforce & in-platform AI
Agents grounded in your own records with explicit scope, permission boundaries and escalation paths, built by someone who knows the sharing model underneath. Recently paired with MuleSoft Intelligent Document Processing for RFP ingestion and confidence scoring.
Custom LLM applications
Retrieval over your documents and systems, tool use against your real APIs, and a cost model you can put in a budget line.
Evaluation & guardrails
A test set drawn from your own cases, a measured pass rate before launch, and monitoring after, so “it seems better” stops being the standard.
02
Enterprise Architecture
Twenty-six years of procuring, designing and deploying both physical and virtual infrastructure, on-premise and cloud.
Current & target state
An honest map of what you run today, what it costs, where it breaks, then the state worth getting to and the gap between them.
Platform selection
Build, buy or configure, argued on your constraints rather than a partner tier. We hold no reseller quota.
Sequenced roadmap
Phased so the first release funds the next, with the dependencies and the decision points named and dated.
Governance that survives
Standards, review gates and an architecture decision record habit light enough that your team keeps it after we leave.
03
Salesforce SME
Twenty years in Salesforce technical architecture, from early Force.com object models to Revenue Cloud Billing, Omnistudio and Agentforce. Subject matter expert across Apex, Lightning Web Components, Flow, custom app development and integration patterns.
Org strategy & multi-cloud design
Single org or many, shared data model, permission architecture, release management. The decisions that are expensive to reverse.
Build: Apex, LWC, Flow
Custom application development where configuration runs out, written to be handed to your admins rather than kept hostage.
Rescue & remediation
An org nobody trusts: technical debt inventory, what to fix, what to delete, what to live with. Usually the fastest money you will spend.
Administration & managed support
Ongoing administrative and architectural cover for teams without a full-time architect on staff.
Clouds covered
SalesServiceMarketing
Data CloudExperienceRevenue
Field ServiceCommerce
ManufacturingHealth / Gov Cloud Plus
Public Sector SolutionsOmnistudioCPQ
AgentforcePlatform / Force.com
04
Integration
MuleSoft-led integration across SAP, Oracle, Snowflake and Salesforce. Cloud integration has been Trinity’s core since the SaaS era began. Java/J2EE, Spring MVC and .NET on one side, platform APIs on the other.
API-led integration
REST and SOAP services with real contracts, versioning and a story for what happens when the other end is down.
Event-driven patterns
Platform events and change data capture where polling is quietly costing you, with idempotency and replay designed in.
Middleware & ETL
MuleSoft first, but chosen not assumed. Boomi, SnapLogic, webMethods and Informatica have all won bake-offs here when they fit better. Sized to your volume rather than the vendor’s licence tier.
Legacy & on-premise bridges
The mainframe, the AS/400, the ERP nobody will replace this decade, connected safely instead of worked around.
05
Data
Trinity started in 2000 as a web and data solutions company. Everything above this line depends on getting this part right.
Data modelling & MDM
One definition of a customer, an account and a product across the systems that all think they own it, including Snowflake Cortex AI master-data strategies that produce a single golden record for distribution.
Migration
Legacy to cloud with reconciliation, dry runs and a rollback plan. The unglamorous work that decides whether go-live is a good day.
Quality, lineage & governance
Rules, ownership and traceability, so when a model or a dashboard says something surprising you can find out why.
Model-ready pipelines
Snowflake and Databricks medallion architectures and Salesforce Data Cloud ingestion, shaped for retrieval and analytics rather than storage. Six-system lakehouse builds are normal work here.
Four ways to start
All three begin with the same free conversation. Bring one problem and we will tell you which of these it is.
Email JeremyAssessment
2–3 weeks. AI readiness, org health or integration review. Ends in a document and a costed roadmap.
[YOUR FIXED FEE]
Design & build
Scoped delivery against the roadmap, phased so each release stands on its own and hands over clean.
[YOUR PROJECT RANGE]
Architect on call
A standing block of hours for review, escalation and the decisions you would rather not make alone.
[YOUR MONTHLY RATE]
Developers on your program
An architect-vetted shop of seventy-five to a hundred developers, admins and testers across Salesforce, MuleSoft, Snowflake, Databricks and traditional Java and .NET builds, onshore and offshore, each one vetted before you ever see a CV. You interview them, they work your process, and the architect stays on the account.
[YOUR DAY RATE RANGE]