Customer satisfaction
average CSAT lift once service runs on one connected record
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We align strategy, architecture, integration, and adoption so Salesforce runs as one governed growth system — credible in the boardroom, dependable in daily work, connected to everything the business runs on.
Fold 05The business case
average CSAT lift once service runs on one connected record
average revenue growth from disciplined pipeline and forecasting
faster decisions when leadership trusts what the reporting says
lower cost to serve with Agentforce resolving first-line cases
Salesforce customer-reported averages. Your baseline will differ — establishing it is the first thing we do.
Fold 04Outcomes that matter
Salesforce should make the business easier to run, easier to read, and easier to scale. We architect data, automation, reporting, and adoption around the outcomes your leadership team answers for — and hold the platform to them.
Pipeline integrity, faster lead response, forecast accuracy, and rep productivity that survives an audit.
One customer record and journeys that feel deliberate — across sales, service, marketing, and every channel between.
Fewer swivel-chair processes, cleaner handoffs, and approvals that move at deal speed.
Governed, deduplicated, decision-grade data — reporting the CFO signs off on.
Salesforce joined to ERP, finance, commerce, and legacy systems through MuleSoft and API-led design — acting on complete information.
Agents that resolve cases, qualify pipeline, and clear the busywork — deployed with guardrails, measured like any other worker.
Fold 03End-to-end delivery
One accountable team across the full transformation lifecycle — from the first roadmap decision to every release after go-live. Five folds of one continuous practice.
Operating-model design, roadmap sequencing, and architecture decisions — made before license spend hardens them.
Sales, Service, Marketing, Revenue, Experience, and Field Service Clouds — configured to your operating model, not the demo org.
ERP, finance, commerce, and legacy systems connected through MuleSoft and API-led design — with contracts that hold as both sides change.
Agent and flow design against named use cases — with guardrails, escalation paths, and the metrics to prove the work.
Release rhythm, governance, adoption coaching, and a backlog that keeps earning its keep — long after go-live.
Fold 02Our approach
We map how revenue, service, and operations actually run — adoption friction, data quality, integration gaps, and the opportunities worth money.
Future-state workflows, solution architecture, integration contracts, and a reporting framework leadership signs before anything is built.
Build, integrate, migrate, test, release — agent-accelerated and senior-signed, in increments the business can absorb, with a quality gate at every fold.
Measure adoption and outcomes, retire friction, and keep the platform moving with the business — quarter after quarter.
Months, folded into weeks.
We run AI agents inside our own delivery lifecycle — drafting configuration, tests, and documentation in parallel, senior-signed at every gate. They are built on the most advanced enterprise AI models and on Avity’s own refined models, trained on our curated delivery patterns: clean requirements, documented decisions, configurations that survived production. For privacy-sensitive engagements, those refined models run on dedicated private infrastructure — your data stays inside your boundary, and never trains anything.
Client data is never used to train models. Our refined models learn only from delivery assets Avity authored.
Fold 01It starts here
The route you just traced starts here. One working session: where Salesforce should take the business, what stands in the way, the shortest credible path — and you keep the notes either way.
Not ready for a roadmap? Start with a two-week Platform Performance Audit — fixed scope, findings you keep.