Variant 01
Workflows
Multi-step agent orchestrations that span an entire business function, sales outbound + ABM, content + distribution, support tier-1, onboarding orchestration. The default starting variant for most engagements.
Solutions · AaaS
Agent as a Service. We design, deploy, and run AI agents on your behalf.
Most agentic-AI vendors sell single-task agents, a sales agent, a marketing agent, a support agent, operated in isolation. Zyos deploys comprehensive agent workflows that span an entire business function, and we run them across BI + Software + Operations as the integration layer. That integration is what makes agents worth deploying: disconnected agents create overhead without compounding return.
Five productized variants
Each variant earns its name, buyer recognition, scope clarity, and productization compounding.
Variant 02
Systems
Cross-system agents that monitor + act across the stack, anomaly detection, root-cause hypothesis, alert triage. The agent layer that closes the BI → action gap.
Variant 03
Middleware
Integration-tier agents that sit between systems, translating events, enriching records, routing tasks. Replaces brittle iPaaS workflows with adaptive agents.
Variant 04
Lean
Single-purpose, narrowly-scoped agents, Tier-1 ticket triage, expense compliance, reconciliation, simple reply triage. Lower-cost variant for one focused job.
Variant 05
Insights
Read-only agents that draft analysis, narrate dashboards, summarize variances, prepare CFO + executive packets. Augment human judgment without acting autonomously.
Six worked agent workflows
Show, don't tell.
Multi-step orchestrations that span an entire business function. Each card includes the workflow steps, a sample of the visible task log (the agent's reasoning trace), and the outcome metric.
Sales · AaaS, Workflows
Outbound + ABM Agent Workflow
Discovery → enrichment → personalized outreach → reply triage → meeting booked → CRM updated → follow-up sequencing → human handoff.
01Discovery
Pulling target ICP cohort from CRM + intent feeds.
02Enrichment
Resolving company firmographics + buying-committee signals.
03Personalized outreach
Drafting and queuing tailored opener referencing customer's stage + pain.
04Reply triage
Classifying replies into book-meeting / not-now / not-fit / route-to-human.
05Meeting booked
Negotiating slot via shared availability + sending invite.
06CRM updated
Writing prospect record with reasoning trace + next action.
07Human handoff
Briefing AE with thread + diagnostic + recommended angle.
Visible task log · Foundational AI Layer
step 1/7 · Pulling target ICP cohort from CRM + intent feeds ...done in 1.6s
step 2/7 · Resolving company firmographics + buying-committee signals ...done in 2.3s
step 3/7 · Drafting and queuing tailored opener referencing customer's stage + pain ...done in 3.0s
step 4/7 · Classifying replies into book-meeting / not-now / not-fit / route-to-human ...done in 3.7s
Outcome metric
6.2% reply rate
vs ~1.8% industry baseline · sample engagement window
Marketing · AaaS, Workflows
Content + Distribution Agent Workflow
Topic research → keyword targeting → draft → editorial review → publish → social distribution → measurement → next-topic recommendation.
01Topic research
Mining GSC queries + LLM-citation gaps for this quarter's theme.
02Keyword targeting
Selecting head + long-tail set with KD and intent ranking.
03Draft
Producing playbook draft with Quick Answer block + entity stacking.
04Editorial review
Routing to human reviewer with proposed edits flagged inline.
05Publish
Pushing to CMS + validating JSON-LD + submitting to GSC.
06Social distribution
Adapting to LinkedIn / Facebook native formats; scheduling.
07Measurement
Tracking impressions + LLM citations + inbound from organic.
Visible task log · Foundational AI Layer
step 1/7 · Mining GSC queries + LLM-citation gaps for this quarter's theme ...done in 1.6s
step 2/7 · Selecting head + long-tail set with KD and intent ranking ...done in 2.3s
step 3/7 · Producing playbook draft with Quick Answer block + entity stacking ...done in 3.0s
step 4/7 · Routing to human reviewer with proposed edits flagged inline ...done in 3.7s
Outcome metric
1 piece / week shipped
+ distribution per content-engine-playbook.md cadence
Customer Support · AaaS, Lean
Tier-1 Resolution Agent Workflow
Ticket intake → classification → knowledge-base retrieval → resolution drafting → human review or auto-send → SLA tracking → escalation.
01Ticket intake
Capturing inbound from email / portal / Postmark webhook.
02Classification
Routing by topic + severity + customer tier.
03KB retrieval
Resolving the matching playbook with confidence score.
04Draft response
Composing reply grounded in retrieved docs + customer history.
05Human review or auto-send
Sending if confidence > threshold; otherwise queueing for CSM.
06SLA tracking
Logging response time against contractual SLA.
07Escalation
Promoting to human owner with full context on miss or repeat.
Visible task log · Foundational AI Layer
step 1/7 · Capturing inbound from email / portal / Postmark webhook ...done in 1.6s
step 2/7 · Routing by topic + severity + customer tier ...done in 2.3s
step 3/7 · Resolving the matching playbook with confidence score ...done in 3.0s
step 4/7 · Composing reply grounded in retrieved docs + customer history ...done in 3.7s
Outcome metric
−42% TTFR
Time-to-first-resolution · 9-week engagement window (anonymized)
Operations · AaaS, Systems
Process Anomaly Agent Workflow
Monitoring → anomaly detection → root-cause hypothesis → notification → corrective action proposal → outcome measurement.
01Monitoring
Watching KPIs against baseline windows.
02Anomaly detection
Flagging deviations beyond control limits.
03Root-cause hypothesis
Joining signals across systems to propose explanation.
04Notification
Posting to the right owner with context bundle.
05Corrective action proposal
Drafting proposed change with expected value-impact.
06Outcome measurement
Tracking whether the change closed the gap.
Visible task log · Foundational AI Layer
step 1/6 · Watching KPIs against baseline windows ...done in 1.6s
step 2/6 · Flagging deviations beyond control limits ...done in 2.3s
step 3/6 · Joining signals across systems to propose explanation ...done in 3.0s
step 4/6 · Posting to the right owner with context bundle ...done in 3.7s
Outcome metric
$180K / yr saved
Process-anomaly catch rate · 4-month engagement (anonymized)
Finance · AaaS, Insights
Reconciliation + Forecast Agent Workflow
Ingestion → categorization → reconciliation against bank / ERP → variance flagging → forecast adjustment → CFO summary.
01Ingestion
Pulling transactions from connected accounts.
02Categorization
Classifying with customer-tuned chart of accounts.
03Reconciliation
Matching against bank statements + ERP records.
04Variance flagging
Highlighting differences over threshold with reasoning.
05Forecast adjustment
Updating cash + P&L forecast with new variance.
06CFO summary
Composing month-end summary + open items.
Visible task log · Foundational AI Layer
step 1/6 · Pulling transactions from connected accounts ...done in 1.6s
step 2/6 · Classifying with customer-tuned chart of accounts ...done in 2.3s
step 3/6 · Matching against bank statements + ERP records ...done in 3.0s
step 4/6 · Highlighting differences over threshold with reasoning ...done in 3.7s
Outcome metric
3 days saved / mo
Close cycle · finance team time reclaimed (anonymized)
HR · AaaS, Workflows
Onboarding + Knowledge Agent Workflow
Hire detection → personalized onboarding plan → access provisioning → progress tracking → check-ins → 30/60/90 surveys.
01Hire detection
Listening on HRIS for new-hire events.
02Onboarding plan
Tailoring 30/60/90 plan by role + manager preferences.
03Access provisioning
Requesting accounts and tooling with audit trail.
04Progress tracking
Logging milestones + flagging blocked owners.
05Check-ins
Scheduling manager + HR touch-points + capturing notes.
06Surveys
Running 30/60/90 surveys + summarizing themes to HR.
Visible task log · Foundational AI Layer
step 1/6 · Listening on HRIS for new-hire events ...done in 1.6s
step 2/6 · Tailoring 30/60/90 plan by role + manager preferences ...done in 2.3s
step 3/6 · Requesting accounts and tooling with audit trail ...done in 3.0s
step 4/6 · Logging milestones + flagging blocked owners ...done in 3.7s
Outcome metric
+18 NPS
New-hire onboarding NPS over 3-month engagement (anonymized)
Visible task log is the moat: most agentic-AI sites show outputs; we show the agent's reasoning. Reliability you can audit, not just trust.
What you don't manage
Prompts. Infrastructure. Reliability. Drift. We do, as a service.
Prompts + agent logic
We own and evolve the prompt + tool definitions; you see what the agent did but don't have to maintain it.
Infrastructure
Agent runtime, observability, scaling, secret management, IAM, all on the Foundational AI Layer.
Reliability
We monitor reliability + cost + drift continuously. Reliability targets are part of the SLA.
Evolution
Model updates, framework migrations, capability upgrades, we absorb the platform churn.
Integrations
Connecting agents into your CRM, ERP, support, BI, marketing stack, once, then maintained.
Reporting
Monthly report + QBR with agent throughput, reliability, value-impact captured, and re-prioritization.
How AaaS buys
Continuous engagement. Scoped by variant. PI Implementation always Sprint 1.
Engagement model
- · As-A-Service · continuous engagement
- · Scoped to the variant that fits, narrow (Lean) or broad (Systems / Middleware)
- · Support is part of the service, no separate ticket
- · PI Implementation is the first delivery cycle, always
What we ship in the first 90 days
- · PI Implementation deliverable (six outputs), weeks 1–2
- · Architecture Brief signed, by end of week 2
- · First agent in production with visible task log, by week 6
- · Measured outcome vs target, at the end of each monthly cycle
- · First QBR with value-impact recap, at month 3
Agentic AI consulting, FAQ
What buyers ask about Agent as a Service.
Lifted from prospect calls. Published as FAQPage schema for AI Overview + PAA citation.
What is agentic AI consulting?
Agentic AI consulting is the design, deployment, and ongoing operation of AI agents, autonomous, multi-step software workers, across business functions. Unlike single-task chatbots, agentic systems span discovery, decision-making, execution, and reporting. Zyos Group's Agent as a Service (AaaS) productizes this work into a continuous engagement with five named variants: Workflows, Systems, Middleware, Lean, and Insights.
What does Agent as a Service include?
Agent as a Service is a continuous service in which Zyos designs, deploys, and operates AI agents on the customer's behalf. The customer does not manage prompts, infrastructure, agent reliability, model updates, framework migrations, or integration drift, Zyos does, as a service. Every engagement begins with Process Intelligence Implementation as the first delivery cycle. Support is part of the service.
What are the five AaaS variants?
Workflows (multi-step agent orchestrations across a function), Systems (cross-system agents that monitor and act across the stack), Middleware (integration-tier agents that translate events between systems), Lean (single-purpose, narrowly-scoped agents like ticket triage or expense compliance), and Insights (read-only agents that draft analysis, narrate dashboards, prepare executive packets).
How is agent reliability measured?
Reliability is part of the SLA. Every agent ships with a visible task log, the agent's reasoning trace, recorded and displayed to the customer. Monthly reports include agent throughput, reliability, cost, drift, and value-impact captured. The QBR shows the trend. Visible task log is the moat: most agentic-AI sites show outputs; we show the reasoning.
How does an AaaS engagement work?
AaaS is a flexible, continuous engagement scoped to the variant that fits, narrow (Lean) or broad (Systems, Middleware). Support is part of the service, not a separate ticket. Process Intelligence Implementation is the first delivery cycle, always. Customers who refuse PI are customers we politely decline.
The agent that's still running in three years
Build agents on top of a foundation. Operate them as a service.
Three years from now, the procurement question every B2B buyer asks won't be "do you build agents?", it'll be "show me your customers' agents that are still running." We build for that question.