01
Define the job, source, and risk.
We name the task, approved source material, expected output, people affected, unacceptable failure modes, and which actions require human review.
Managed practical AI
Practical AI attached to a real workflow, with a person accountable for it.
Rehost configures AI for an agreed job using approved source material, integrations, review rules, and fallback behavior. We operate and adjust the workflow after launch instead of handing your staff another general-purpose dashboard.
Scope an AI workflow
- A defined job before a model
- Human review where risk requires it
- Measured outputs and exceptions
Start with the operating decision, not the model name.
The signature brief follows one sequence: define the job and risk, build the smallest useful workflow, then measure and maintain it.
02
Build the smallest useful workflow.
Rehost configures the model, retrieval, integrations, instructions, review step, logging, and fallback needed for that job instead of starting with a general AI platform.
03
Measure and maintain the result.
We review agreed quality and operating signals, correct source data, adjust the workflow, and manage provider or model changes under the service scope.
Useful AI usually looks like a small piece of a larger system.
The examples below are building blocks. Rehost only includes the ones that match an approved source, owner, action, and review boundary.
Answers from approved sources
Website or internal answers grounded in the hours, services, policies, documents, and other sources your organization approves.
Drafting with review
Replies, summaries, articles, messages, or follow-up drafts routed to the person or team responsible for approval.
Extraction and organization
Turn incoming documents, forms, notes, or messages into structured fields, summaries, tags, and next-step queues.
Routing and triage
Classify routine requests, identify missing information, and send work to the right person without pretending every decision is automatic.
Internal digests
Combine approved operational signals into a short report so staff can review exceptions instead of checking several systems.
Guardrails and fallback
Source limits, approval rules, blocked topics, logs, and a clear route to a person when the workflow is uncertain.
The best first workflow is repetitive, observable, and reversible.
A practical scope can save work before anyone asks the system to make a sensitive decision or act without review.
Strong fit
The task repeats and the source of truth is known.
People regularly answer the same question, summarize the same material, or move the same information between systems.
A useful draft or recommendation saves real work.
The workflow can create value before it is trusted to take any irreversible action.
Someone can own review and exceptions.
The organization can identify who approves sensitive outputs, corrects source facts, and handles uncertain cases.
Do not automate this yet
The source data is missing or unreliable.
A model cannot create a trustworthy operating fact from stale policies, contradictory records, or information no one owns.
The workflow makes high-stakes decisions by itself.
Medical, legal, employment, credit, safety, or other consequential decisions need specialist controls beyond a general marketing promise.
The goal is to add AI without a defined job.
A feature should remove a known task or improve a measured outcome. A broad transformation label is not a sufficient scope.
AI needs written data and decision boundaries.
The agreement should identify what the system may read, produce, store, recommend, and do, plus the person responsible for review and exceptions.
Managed by Rehost
- Workflow design for the approved job and source material
- Configuration, integration, testing, and documented review behavior
- Monitoring and routine adjustments within the agreed service
- A fallback path when the system lacks confidence or permission
Named in the agreement
- Approved data sources, processors, subprocessors, and access rules
- Human-review requirements and prohibited automated actions
- Retention, logs, evaluation criteria, and incident handling
- Usage limits, third-party fees, model changes, exports, and service-end steps
Practical AI belongs inside an operating scope.
Rehost does not publish a stand-alone chatbot price. The Business starting price is first-party context; the signed proposal defines the AI job, usage, providers, controls, and any added costs.
Business
From $950
USD per month
Practical AI work can be included in the Business operating scope alongside the app, website, customer workflows, and ongoing support. The proposal names the actual job and limits.
Review Business pricingCheck the commercial, operating, and data context.
These pages provide the sources behind price, ownership, review, privacy, and provider boundaries.
Decision guide
Would an AI agent help?
Check the task, source, risk, and human owner before you build.
Operating model
How Rehost works
Review ownership, evidence, account, request, and transition boundaries.
Public policy
Privacy and subprocessors
Read the public privacy policy and current subprocessor disclosure.
Questions to answer before adding AI to a workflow.
Direct answers about models, review, data, pricing, and measurement.
Is Rehost selling access to a chatbot?
No. Rehost scopes a practical workflow around a defined task, approved information, integrations, review rules, and an operating owner. A model may be part of that workflow, but access to a general chat interface is not the product.
Which AI model does Rehost use?
The model depends on the task, data, quality needs, latency, cost, and contractual constraints. Providers and models can change. The scope should describe the job and controls so the workflow is not defined by one model name.
Can AI publish or message customers without review?
Only when the signed scope explicitly permits that action and defines the source, guardrails, monitoring, and fallback. Human review is the safer default for sensitive or customer-facing output until the workflow has evidence that supports a narrower rule.
How is our data handled?
Data handling follows the signed customer agreement and Rehost's public privacy and subprocessor disclosures. The scope should name approved sources, access, retention, processors, logs, exports, and prohibited uses for the workflow.
Who owns our data and the AI workflow?
You retain the content and data you provide. Under the public Terms, Rehost owns its service software, code, and designs unless a signed customer agreement grants a different license or handoff. The agreement should distinguish customer data, configured workflow behavior, vendor accounts, exports, and service software.
Does practical AI cost extra?
The public Business plan starts at $950 per month and can include defined AI work with the app, website, and operating service. Unusual model usage, data processing, compliance, or third-party costs are scoped before work begins.
How do we know whether the workflow works?
The scope identifies observable signals for the job, such as review acceptance, response coverage, routing accuracy, time to resolution, or the number and type of exceptions. Rehost reports measured results without turning them into a universal guarantee.