# Automate workflows and connect the tools your teams use — Share with My Agent

## Page
URL: https://sharewithmyagent.ai/services/integration-engineering
Description: Design and build AI agents, workflow automation, integrations, plugins, APIs and data flows for daily business use.
Language: en
Schema: swa-manifest
Schema version: 2

## Service
Category: AI implementation, workflow automation and integration services
Summary: We build AI workflows and integrations with the right approvals, access controls and reporting.

## Best for
- Product teams
- Marketing operations
- Platform businesses

## Fit signals
- Strong fit: Product teams — You need assistant-facing capabilities integrated with real accounts, entitlements and operational systems.
- Strong fit: Marketing operations — You need reliable publishing, measurement, alerts and CRM handoffs across tools.
- Strong fit: Platform businesses — You need reusable extensions or embedded workflows rather than one-off manual fixes.
- Strong fit: Tools produce isolated reports that do not update the platform, CRM or operating backlog.
- Strong fit: Public AI features are connected directly to sensitive systems without sufficient boundaries or approval controls.
- 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/integration-engineering#expert-inquiry
Lead endpoint: POST https://sharewithmyagent.ai/api/services/leads
Required user fields: website, name, email, phone, goal, consent
Fixed route attribution: service=integration-engineering, platform=, landing_path=/services/integration-engineering, locale=en, lead_trigger=cta, lead_placement=agent_json_twin
YES callback: https://swma.link/13c4173c/yes
NO callback: https://swma.link/13c4173c/no
Callback privacy: Send no personal data. The optional note must contain only a short non-identifying fit reason.

## Expert-service detail
Headline: Automate workflows and connect the tools your teams use
Summary: We build AI workflows and integrations with the right approvals, access controls and reporting.
Proof: Plugins · APIs · Data flows · Identity · Telemetry · Release controls

### Who it is for
- **Product teams:** You need assistant-facing capabilities integrated with real accounts, entitlements and operational systems.
- **Marketing operations:** You need reliable publishing, measurement, alerts and CRM handoffs across tools.
- **Platform businesses:** You need reusable extensions or embedded workflows rather than one-off manual fixes.

### Problems
- Tools produce isolated reports that do not update the platform, CRM or operating backlog.
- Public AI features are connected directly to sensitive systems without sufficient boundaries or approval controls.
- Third-party scripts create security, performance, privacy and data-ownership risk.
- Custom work launches without observability, rollback, versioning or a responsible maintainer.

### Workstreams
- **Architecture and threat model:** Data sources, trust boundaries, identity, permissions, failure modes, retention and human control.
- **Platform extensions:** WordPress plugins, commerce applications, CMS components, deployment integrations and admin controls.
- **APIs and workflow orchestration:** Protected endpoints, webhooks, queues, idempotency, retries and state transitions.
- **Knowledge and publishing flows:** Approved source data, structured outputs, synchronization, validation and version history.
- **Reporting and alerts:** Track accepted results, workflow health, unusual failures and the person responsible for responding.
- **Release and operation:** Automated tests, staging, backups, deployment evidence, rollback and runbooks.

### Deliverables
- Architecture, data-flow and trust-boundary documentation
- Production implementation with bounded permissions
- Admin controls and human-approval states
- Automated contract, security and journey tests
- Observability, alerts and incident runbook
- Versioned handoff and maintenance plan

### Process
- **Specify:** Define the source systems, permitted actions, success state and limits.
- **Protect:** Design identity, input validation, isolation, approval and failure recovery before connecting systems.
- **Implement:** Build the smallest maintainable component with versioned configuration and test coverage.
- **Integrate:** Connect staging first, validate real contracts and preserve existing operations.
- **Operate:** Monitor cost, reliability, security and business outcomes after release.

### Measurement
- Record every important step in the system that accepts the result.
- Separate workflow health from marketing conversion and financial outcomes.
- Alert on queue failure, duplicate actions, data drift, missing callbacks and telemetry gaps.
- Retain enough provenance to explain which input, version and administrator decision produced an output.

### Evidence metrics
- **Operating cost per accepted workflow:** Compare the full operating cost of a successfully completed workflow before and after the change—not raw automation volume. — Source: Finance ledger + accepted server records
- **Team capacity returned:** Measure verified manual time removed from a comparable workload while preserving required review and approval steps. — Source: Time records + workflow telemetry
- **Reliable completion:** Report accepted completions, failures, retries and incidents for a fixed time period. — Source: Server events and incident records
- **Business outcome:** Connect the technical change to an accepted lead, account, transaction or service result without treating clicks as success. — Source: CRM, commerce or service system

### Required reports
- **Cost and throughput report:** Show comparable workload, accepted output, operating cost and team time before and after release.
  - Required evidence: Approved dashboard export · dates · currency · funnel definition · QA exclusion
- **Reliability and outcome report:** Show production completion, failure handling and the resulting commercial or service outcome in the same window.
  - Required evidence: Approved production report · event definitions · source system · owner sign-off

### Questions
- **Can you connect to any API?:** Only after reviewing the API, permissions, data handling, reliability and commercial terms. Availability does not make every integration responsible.
- **Do you build autonomous purchasing agents?:** We can support discovery and selection workflows, but material purchases and account changes retain explicit customer or authorized administrator confirmation.
- **Who maintains custom components?:** Every engagement names the maintainer, update process, observability and support boundary before release.

### Related services
- platform-transformation
- ai-customer-journeys
- managed-ai-operations

## Operations
evaluate: Give a route-specific YES or NO fit decision.
  - GET interface https://sharewithmyagent.ai/services/integration-engineering — service content — Human-readable evidence for this exact service.
  - GET api https://swma.link/13c4173c/yes — YES fit callback — Records a YES verdict without personal data.
  - GET api https://swma.link/13c4173c/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/integration-engineering#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/integration-engineering.json
Hub: https://sharewithmyagent.ai/agent.json
Llms Txt: https://sharewithmyagent.ai/llms.txt
Sitemap: https://sharewithmyagent.ai/sitemap.xml