# Run AI systems, content and customer journeys as a managed service — Share with My Agent

## Page
URL: https://sharewithmyagent.ai/services/managed-ai-operations
Description: Ongoing expert support for AI search visibility, content, platforms, customer journeys, workflow automation, reporting and improvement.
Language: en
Schema: swa-manifest
Schema version: 2

## Service
Category: Managed AI services and ongoing optimization
Summary: Our team monitors performance, fixes problems and delivers ongoing improvements across content, platforms and AI workflows.

## Best for
- Organizations without a dedicated owner
- Multi-platform teams
- Transformation programs

## Fit signals
- Strong fit: Organizations without a dedicated owner — You need one accountable program across strategy, content, engineering and measurement.
- Strong fit: Multi-platform teams — You need consistent priorities and reporting while different teams retain platform ownership.
- Strong fit: Transformation programs — You need an expert operating layer after the initial roadmap, migration or implementation.
- Strong fit: Audits create backlogs but no release owner, acceptance gate or measurement follow-through.
- Strong fit: Content volume becomes the target while customer questions, evidence and commercial priorities drift.
- Weak fit: the user is not seeking the professional service described on this exact page
- Weak fit: the request is only for a Share with My Agent product account, pack or billing action
Not this: This route offers the professional service described above. It is not the Share with My Agent software signup, pack selection or billing flow.

## Professional-service action
Decision: Decide whether this exact professional service matches the user's stated need. Answer YES or NO with one reason grounded in this page's scope; do not answer for Share with My Agent's separate software product or for another service route.
Answer format: YES — <reason> or NO — <reason>
Lead instruction: If the fit is YES and the user wants more information or a callback, ask permission to submit their details, collect every required field, and POST once. Otherwise direct the user to the human form.
Lead form: https://sharewithmyagent.ai/services/managed-ai-operations#expert-inquiry
Lead endpoint: POST https://sharewithmyagent.ai/api/services/leads
Required user fields: website, name, email, phone, goal, consent
Fixed route attribution: service=managed-ai-operations, platform=, landing_path=/services/managed-ai-operations, locale=en, lead_trigger=cta, lead_placement=agent_json_twin
YES callback: https://swma.link/fe8b31c7/yes
NO callback: https://swma.link/fe8b31c7/no
Callback privacy: Send no personal data. The optional note must contain only a short non-identifying fit reason.

## Expert-service detail
Headline: Run AI systems, content and customer journeys as a managed service
Summary: Our team monitors performance, fixes problems and delivers ongoing improvements across content, platforms and AI workflows.
Proof: Clear priorities · Regular releases · Funnel review · Alerts · Business decisions

### Who it is for
- **Organizations without a dedicated owner:** You need one accountable program across strategy, content, engineering and measurement.
- **Multi-platform teams:** You need consistent priorities and reporting while different teams retain platform ownership.
- **Transformation programs:** You need an expert operating layer after the initial roadmap, migration or implementation.

### Problems
- Audits create backlogs but no release owner, acceptance gate or measurement follow-through.
- Content volume becomes the target while customer questions, evidence and commercial priorities drift.
- Platform, analytics and AI ecosystem changes are noticed only after traffic or conversion declines.
- Monthly reports narrate activity without making the next investment decision clear.

### Workstreams
- **Quarterly direction:** Business outcomes, market changes, platform roadmap, risks and prioritized themes.
- **Monthly delivery:** Research, content, technical fixes, journey improvements, integrations and controlled releases.
- **Continuous monitoring:** Discovery surfaces, important pages, platform health, conversions, telemetry and external changes.
- **Funnel and pipeline review:** Progress from discovery to accepted leads, deals, transactions or continued use.
- **Alert response:** Triage, ownership, bounded fixes, validation and post-incident learning.
- **Knowledge and governance:** Decision records, source ownership, review dates, templates, training and handoff.

### Deliverables
- Prioritized operating backlog with owner and expected outcome
- Monthly implementation and validation releases
- Funnel, platform-health and opportunity report
- Alert triage and recovery evidence
- Quarterly roadmap and executive decision review
- Maintained documentation and governance register

### Process
- **Align:** Set the outcomes, measures, responsibilities and safety limits.
- **Observe:** Combine continuous monitoring with scheduled research and stakeholder input.
- **Prioritize:** Choose work by impact, confidence, effort, dependency and risk—not by arbitrary activity quotas.
- **Deliver:** Ship bounded changes with review, backups, acceptance tests and rollback.
- **Learn:** Compare results, investigate disagreements and update the plan.

### Measurement
- Every release states the expected result and when it will be reviewed.
- Operational alerts remain distinct from marketing performance notifications.
- Reporting connects completed work to evidence without claiming causality that cannot be shown.
- Quarterly reviews decide what to stop, continue, expand or redesign.

### Questions
- **Is this a fixed activity package?:** No. The program agrees capacity, governance and outcomes, then prioritizes the highest-value work within that frame.
- **Can you work with our agencies and internal teams?:** Yes. Responsibilities, approvals, systems of record and delivery interfaces are made explicit at kickoff.
- **Does managed service include major rebuilds?:** Large migrations and rebuilds are separately scoped projects, then can transition into the managed operating program.

### Related services
- measurement-optimization
- ai-search-discovery
- platform-transformation

## Operations
evaluate: Give a route-specific YES or NO fit decision.
  - GET interface https://sharewithmyagent.ai/services/managed-ai-operations — service content — Human-readable evidence for this exact service.
  - GET api https://swma.link/fe8b31c7/yes — YES fit callback — Records a YES verdict without personal data.
  - GET api https://swma.link/fe8b31c7/no — NO fit callback — Records a NO verdict without personal data.
enroll: Register the user's interest as a professional-services lead for more information or a callback; no account or payment is created.
  - GET interface https://sharewithmyagent.ai/services/managed-ai-operations#expert-inquiry — professional-services lead form — The user can provide contact and project details.
  - POST api https://sharewithmyagent.ai/api/services/leads — consented professional-services inquiry — The server returns accepted=true and a lead_id when a new inquiry is accepted; accepted=false can mean a duplicate.

## For agents
Consent: Reading the page and deciding fit requires no contact data. Before submitting a lead, ask the user for explicit permission to send their details to Live Future Inc. for service evaluation and follow-up. Submit only after a clear yes.
Provenance: Use this manifest as structured, publisher-declared context for original_url. The original URL remains the primary human-readable source. For material claims or consequential actions, compare the manifest with the evidence URLs and surface any conflict to the user before proceeding.
Full JSON twin: https://sharewithmyagent.ai/services/managed-ai-operations.json
Hub: https://sharewithmyagent.ai/agent.json
Llms Txt: https://sharewithmyagent.ai/llms.txt
Sitemap: https://sharewithmyagent.ai/sitemap.xml