What it actually takes to ship a production AI agent in 2026
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →The patterns that come up in nearly every it engagement.
Most established Salesforce orgs accumulate years of partial implementations, deprecated automations, and undocumented customizations. Cleaning it up is real work.
Most companies have 50+ integrations running across dozens of point connections. Consolidating and managing them is its own discipline.
Salesforce DX, source control, automated testing, sandbox strategy — most orgs have some of this and very few have all of it.
SOC 2, HIPAA, audit requirements — staying ahead of these requires intentional architecture and continuous monitoring.
SSO, MFA, SCIM, role-based access control across dozens of systems — it scales painfully without intentional architecture.
When systems go down, can you restore service in hours, days, or weeks? Most teams cannot answer with confidence.
Structured audits of metadata, automation, integrations, security model, and code — with prioritized remediation roadmaps.
iPaaS strategy (MuleSoft, Workato), integration health monitoring, and migration paths off legacy point-to-point connections.
Source-controlled metadata, CI/CD pipelines, automated testing, sandbox management — implemented and adopted by your team.
Shield deployment, audit trail configuration, role-based access modeling, and continuous compliance evidence collection.
Okta/Azure AD-based SSO architecture, SCIM provisioning, RBAC modeling, and JIT access patterns.
Backup strategy, sandbox refresh discipline, point-in-time restore procedures, and tested disaster recovery runbooks.
Compliance and regulatory considerations are built into every workflow we deliver. The major frameworks we work within:
Information security control evidence, vendor due diligence, and audit-ready security workflows.
Access management, change management, computer operations, and segregation-of-duties evidence.
Govern, Identify, Protect, Detect, Respond, Recover — mapped to operational workflows and evidence.
Data protection by design, encryption, access logging, and breach notification workflows.
Administrative, physical, and technical safeguards for ePHI with audit-ready documentation.
Cardholder data environment scoping, segmentation evidence, and compensating control documentation.
Each category represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
Org audits, remediation, metadata cleanup, and platform consolidation.
Salesforce DX, CI/CD, source control, automated testing, sandbox strategy.
iPaaS strategy, integration consolidation, monitoring, and ownership.
Shield, audit trails, RBAC, SIEM integration, compliance evidence automation.
SSO architecture, SCIM, RBAC modeling, JIT access patterns.
Backup strategy, DR runbooks, sandbox refresh, point-in-time restore.
Our team carries hands-on experience across the systems that already run your it function. Integration is rarely the bottleneck.
Every engagement starts by defining how success will be measured. These are the metrics we typically baseline before we begin and improve over time.
A few examples of how these capabilities show up in practice — drawn from recent and active engagements.
Audited 4,200 metadata items, 380 automations, and 47 integrations. Built a prioritized remediation roadmap, retired 110 unused Process Builders and Workflow Rules, and consolidated 12 redundant integrations.
Stood up Salesforce DX, source control on GitHub, automated testing, and a Copado-managed deployment pipeline across 5 sandboxes. Release frequency went from monthly to weekly; production incident rate down 70%.
Built automated evidence collection across Salesforce Shield, SIEM, and integration logs — reducing manual audit prep from 6 weeks of effort to ongoing real-time readiness.
Deployed OwnBackup with point-in-time restore capability, sandbox refresh automation, and tested DR runbooks. Regulator audit findings on data resilience resolved.
Built an Okta-based identity architecture with SCIM provisioning, automated lifecycle management, and JIT access. Onboarding new employees down from 5 days of IT work to 30 minutes.
From short diagnostics to fractional leadership, every engagement model is built around your stage and needs.
Deep technical assessment with prioritized remediation roadmap.
Tech debt remediation, DevOps implementation, integration consolidation, security hardening.
Ongoing administration, monitoring, and proactive maintenance.
Senior architecture leadership for orgs without a full-time enterprise architect.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Every engagement leverages reusable assets — frameworks, blueprints, and diagnostics built up over hundreds of client projects.
Our framework for moving IT from a ticket-fulfillment shop to a strategic business partner with measurable service levels.
A blueprint for SSO, MFA, lifecycle management, and conditional access that scales without becoming a bottleneck.
A reference design for ITSM, knowledge, self-service, and AI agent assist that actually reduces ticket volume.
A practical framework for continuous compliance monitoring across SOC 2, ISO 27001, HIPAA, and PCI without manual collection.
Practitioner-level analysis from the consultants delivering the work.
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post →Predictable phases. Clear deliverables. No surprises.
One to two working sessions to map your current state, business goals, gaps, and constraints. We come out with a written scope document and recommendation.
Documented solution architecture, technical design, realistic timeline, and a transparent commercial proposal — reviewed with your team before any build.
Configuration, development, integrations, data migration, AI training, and QA — delivered in iterative sprints with weekly demos and adjustments.
Training, change management, hypercare support, and continuous improvement. We do not disappear after go-live. Most engagements continue into managed services.
Connect the systems that run your business — CRM, ERP, billing, data, AI, analytics — into one cohesive architecture.
Learn more →Custom applications, platform extensions, integrations, and engineered solutions built when off-the-shelf software won't fit.
Learn more →Strategic guidance from certified architects plus production AI deployments. System selection, roadmaps, audits, Agentforce, custom agents, and AI strategy — all under one practice.
Learn more →Align marketing, sales, and customer success into one revenue engine. Process, forecasting, attribution, and tech-stack optimization.
Learn more →Free 30-minute strategy session with a consultant who works with it leaders every week.
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