Security
IAM, encryption, secret management, audit trails, incident response, certifications. Security is designed in, not bolted on. The architecture's posture matches your regulatory and risk context.
Foundation · Stage 2, Build
Foundational builders. Process Intelligence first. Agents second. Value-impact always.
Most agentic-AI firms sell the agent. Zyos sells the foundation that makes the agent work. An agent deployed on a process nobody has mapped automates chaos. An agent operating on data nobody has instrumented produces noise. An agent making decisions nobody has prioritized burns trust. An agent without measured value-impact targets becomes a budget line item nobody can defend.
You don't deploy an agent on top of an unobserved process and hope it works. You first see the process, its inputs, decisions, exceptions, handoffs, latency, value-impact per step. That's Process Intelligence. Then you deploy the agent on the right slice of the process, instrumented to prove what it changed.
Process Intelligence Implementation
Six deliverables. 30 days. The truth-finding pass.
Scroll through an anonymized PI deliverable, the artifact that turns a hypothesis into a real plan with a real architecture and a real prioritized backlog.
Deliverable 01, Process map
End-to-end process, every decision point, handoff, exception, and human role visible.
Not a Visio diagram. A real-state walk-through of how work happens today, the bottlenecks, the silent handoffs, the steps nobody documented because everyone already 'knew.'
Anonymized · pattern + magnitude shown. Real customer data never appears here.
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Deliverable 02, Value stream map
Where value is created vs consumed. Revenue-touching steps, cost-burning steps, decision-bottleneck steps.
The lens that reveals what to prioritize. Most processes have one or two steps generating 70% of the value-impact, and they're rarely the ones leadership thinks.
Anonymized · pattern + magnitude shown. Real customer data never appears here.
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Deliverable 03, Instrumentation plan
Which steps need data capture; what tools provide it; what BI signal each step produces.
Steps without instrumentation can't be measured, can't be improved, and can't be safely automated. PI exits with a plan to close every measurement gap.
| Step | Missing capture | Impact |
|---|---|---|
| Lead-stage transitions | Activity timestamps | ~$120K / yr leakage |
| Ticket categorization | Resolution tag at close | Inhibits Tier-1 routing |
| Forecast actuals | Department-level breakdown | Variance unattributable |
| Reviews response latency | Time-to-first-reply log | GBP velocity capped |
Anonymized · pattern + magnitude shown. Real customer data never appears here.
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Deliverable 04, Value-impact estimates
Quantified estimates per detected gap, revenue, cost, risk, time effect of intervention.
The chart that gets a CFO to sign the next-cycle SOW. Every gap is named, sized, and ranked against effort + readiness fit.
Anonymized · pattern + magnitude shown. Real customer data never appears here.
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Deliverable 05, Readiness & Maturity scorecard
Five dimensions scored 1–5, Process Maturity, Tech + Integration, Data Quality, Automation + AI Readiness, People + Knowledge Risk.
Low-data-discipline customers need instrumentation before agents. Low-process-discipline customers need process mapping before automation. The scorecard tells us which.
Routing applied: RS 2.7, Conditions to address (Data Quality + Automation Readiness need a runway before Phase 2 begins).
Anonymized · pattern + magnitude shown. Real customer data never appears here.
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Deliverable 06, Prioritized backlog + agent-suitability
Ranked intervention list with operate / scale / stay-human recommendation per item.
Three recommendations: operate (replace human throughput with agents), scale (multiply human throughput while keeping human judgment), stay-human (judgment dominates; agent overhead would cost more than it saves).
| Item | Value-impact | Effort | Readiness | Recommendation |
|---|---|---|---|---|
| Outbound + ABM Agent | $340K ARR | M | Engagement recommended | Operate |
| Tier-1 Support Triage Agent | $215K opex | M | Engagement recommended | Scale |
| Month-end close reconciliation | $180K opex | L | Conditions to address | Scale |
| Reviews velocity engine | $130K LTV | S | Engagement recommended | Operate |
| Compensation modeling | Risk · undefined | L | Not yet, revisit | Stay human |
Anonymized · pattern + magnitude shown. Real customer data never appears here.
Solution Architecture
Not every customer needs the same solution.
Solution architecture is a first-class deliverable that sits between Stage 1 (Assess) and Stage 2 (Build). Five context dimensions shape the architecture decision.
| Context dimension | What it changes about the architecture |
|---|---|
| Regulatory | Healthcare (HIPAA + HITRUST), finance (SOC2, SOX, PCI-DSS), legal (privilege + work-product), education (FERPA), government (FedRAMP), shapes data residency, audit trails, IAM, agent autonomy levels, human-in-loop defaults. |
| Complexity | Distributed enterprise vs single-instance mid-market vs lean SMB, informs whether agents are per-tenant or shared, whether data is centralized or federated, whether change governance is heavyweight or lightweight. |
| Scale | User count, transaction volume, integration breadth, geographic distribution, drives infrastructure decisions, agent runtime capacity, observability investment. |
| Risk | What fails if this breaks? Customer-facing vs internal? Reversible vs irreversible? Drives agent-autonomy conservatism, depth of testing, rollback structure. |
| Maturity | The Stage 1 scorecard informs architecture: low-data-discipline customers need instrumentation BEFORE agents; low-process-discipline customers need process mapping BEFORE automation. |
System connections · Mid-market SaaS
The four non-negotiables
Security · Ownership · Maintenance · Evolution.
Beyond functional design, every Zyos architecture explicitly addresses these four, articulated in the Architecture Brief before construction begins.
Ownership
Who owns the code, the data, the model artifacts, the agent prompts, the decisions agents make on your behalf. Default: you own everything we produce for you; Zyos owns the platform IP that powers it.
Maintenance
Operational responsibility (runbooks, monitoring, alerting, on-call), update responsibility (security patches, model updates, framework migrations), and SLA + escalation paths, articulated in writing before construction begins.
Evolution
How the solution adapts as the AI category evolves, as the business changes (scale, M&A, new lines), as regulations evolve, and as platforms come and go. Portability, vendor-lock-in mitigation, and the option to take the solution independent if the Zyos relationship ends.
The Architecture Brief
What the customer signs off on before Foundation construction begins.
The Architecture Brief IS the differentiator from commodity AI-services firms that skip architecture and ship 'MVPs' that don't survive the first scale event or regulatory audit.
- 01Context summary (regulatory + complexity + scale + risk + maturity, from Stage 1 PI)
- 02Architecture diagram (the topology component, customer-specific)
- 03Component selection rationale, for each layer, why we built vs configured, what we bought vs hosted, what we own vs license
- 04Security posture + certifications mapped to compliance
- 05Ownership matrix (who owns each artifact at each lifecycle stage)
- 06Maintenance + operational responsibility matrix + SLAs
- 07Evolution plan (year-1, year-2, year-3 expected adaptations)
- 08ROI hypothesis tied to foundation cost (the Stage 2 ROI gate)
What PI produces, operationalized
The dashboards that come out of the Foundation work.
PI's instrumentation plan becomes operating instrumentation. Below: anonymized previews of the eight standard dashboards every engagement ends with.
Live in Zyos OS
SEO Baseline + Quarterly Trend
Rank tracking, organic + GEO impressions, citation consistency. The instrumentation that runs underneath every Integrated Marketing engagement.
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Engagement Kanban + Burndown
Customer-visible delivery board. Every monthly cycle ships against a measurable outcome target.
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OKR Progress Tracker
Value-impact OKRs named at engagement kickoff and measured continuously. Score curve refreshes at every QBR.
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Customer Success Cadence Heatmap
Check-in cadence + monthly report rhythm + QBR scheduling visualized across the portfolio.
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QBR Report Output
The recurring quarterly artifact. Value-impact recap + variance vs target + re-prioritization decisions.
Concept · Q3 2026
Agent Task Throughput + Reliability
Per-agent volume, reliability, and human-review rates surfaced from the Foundational AI Layer task log.
Boutique agentic AI for high-growth SMBs, PE, and associations. Senior team on every engagement. Value-impact always.
Start your PI Implementation.
Customers who refuse PI are customers we politely decline , without it, every downstream cycle is guessing.