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 marketing engagement.
Marketing attribution is notoriously contested. Building a multi-touch model with the underlying data quality to support it is harder than most platforms make it look.
Leads that drop, MQLs that never get worked, the eternal marketing-sourced vs sales-sourced debate — most of this is solvable with the right workflow design.
Content needs are exploding. AI can multiply your team output 4-10x — if you set up the workflow right.
Most marketing departments have accumulated 30+ tools. Most can be consolidated, integrated, or replaced — but doing so requires intentional architecture.
AI content generation makes scale easy and consistency hard. Brand-voice guardrails are no longer optional.
Events drive significant pipeline for B2B firms. Operating them well requires real workflow, not spreadsheets.
Multi-touch attribution models grounded in clean data, integrated with finance reporting, and trusted across the org.
End-to-end design and implementation of the marketing-to-sales workflow — lead routing, SLA enforcement, MQL definition, feedback loops.
Production AI workflows for content generation, with brand voice training, editorial review queues, and audit trails. Built on Claude or GPT.
Honest audits of marketing tools, with recommendations grounded in usage data and integration costs — not vendor sales decks.
Structured brand voice training for AI workflows, with editorial guardrails and review queues that scale content without compromising brand.
Salesforce + event platform integration covering registration, attendance, post-event nurture, and event-sourced pipeline attribution.
Compliance and regulatory considerations are built into every workflow we deliver. The major frameworks we work within:
Sender identification, opt-out workflow, and physical address requirements built into every marketing platform.
Express written consent capture, opt-out handling, and prior-express-consent evidence for SMS and outbound voice.
Consent capture, preference centers, privacy notices, data subject request workflows.
Express and implied consent tracking with timely refresh, plus identification and unsubscribe requirements.
Influencer disclosure tracking, sponsored content evidence, and material connection documentation.
Sector-specific marketing requirements — healthcare, financial services, accessibility — handled at the workflow level.
Each category represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
Lead routing, scoring, suppression, list ops, and campaign infrastructure.
Multi-touch attribution, marketing-sourced pipeline reporting, and finance-grade analytics.
Account-based marketing platforms, intent data integration, and orchestrated outbound.
Brand-voice training, AI-augmented content workflows, and editorial governance.
Event platform integration, post-event nurture, and event-sourced pipeline tracking.
Our team carries hands-on experience across the systems that already run your marketing 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.
Replaced HubSpot default attribution with a custom model integrating first-touch, multi-touch, and influenced-revenue logic — surfacing the fact that 35% of marketing-sourced pipeline was actually sales-sourced. Reset the conversation with finance.
Deployed a Claude-powered first-draft content engine — blog posts, sales enablement, ad copy, email sequences — with brand-voice training and a structured editorial review workflow. Content output up 4x without adding headcount.
Built lead routing with SLA timers, automated rep escalation when leads sit untouched, and bidirectional feedback workflows. Lead response time down to under 3 minutes for 90% of inbound; lead-to-meeting conversion up 28%.
Built a 6sense + Salesforce + HubSpot ABM platform with account scoring, intent data, and orchestrated outbound. Target-account meeting rate up 4x.
Replaced spreadsheet-driven event ops with a unified event platform. Event-sourced pipeline attribution improved dramatically; ROI conversations with finance finally productive.
From short diagnostics to fractional leadership, every engagement model is built around your stage and needs.
A 2-week assessment of marketing tech, attribution, lead flow, and operations.
Defined builds for attribution, ABM, marketing automation, or AI content.
Ongoing marketing operations support and platform administration.
Senior marketing operations leadership without the full-time hire.
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.
A blueprint for closed-loop attribution that survives third-party cookie deprecation and ties revenue back to campaigns reliably.
Our framework for orchestrating acquisition, onboarding, expansion, and retention journeys across email, SMS, ads, and in-product.
A complete ABM blueprint — target account modeling, intent integration, multi-channel orchestration, and sales handoff workflows.
A focused assessment of where AI will accelerate your marketing operations and content production — and where it will not.
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 marketing leaders every week.
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