Service Offering · Ongoing

Ongoing AI Implementation Support

Practical AI Implementation Partnership Without a Full Internal AI Team

newbloomai.com

Most AI initiatives stall not because the first project failed, but because nobody owns the next one. Ongoing AI Implementation Support gives organizations a practical implementation partner after an assessment, sprint, pilot, training program, or application build — refining workflows, training new staff, expanding use cases, and keeping adoption moving.

Overview

What It Is

Ongoing AI Implementation Support is continued advisory and implementation help structured around the client's pace, budget, and adoption priorities.

Engagements are typically delivered as monthly, periodic, or project-based support following an initial readiness assessment, sprint, pilot, training program, or build.

The goal is steady, measurable progress: more workflows supported, more staff trained, better documentation, and fewer abandoned tools.

Procurement Note: Cadence, scope, and pricing can be aligned with the buyer's funding source, purchasing authority, grant cycle, or internal procurement procedures.

Who It's For

Best-Fit Organizations

Want a practical AI implementation partner but do not need a full internal AI team.
Completed an initial assessment, sprint, pilot, or build and need continued support.
Want to expand from one pilot workflow to multiple workflows.
Need periodic training, documentation, and improvement cycles.
Need help measuring outcomes for leadership, funders, or grant reporting.
Want a steady cadence rather than a single large project.

Best-Fit Environments

Government agencies
Nonprofits
Public-sector teams
Workforce development organizations
Mission-oriented organizations
Operations and administrative teams

What We Do

Typical Activities

Review adoption progress against the previous roadmap.
Update prompts, workflows, and training materials.
Support new use case discovery and scoping.
Troubleshoot implementation issues as they come up.
Train new staff or refresh existing staff.
Improve documentation and review checkpoints.
Plan follow-on pilots or builds.
Support outcome measurement and reporting.

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Ongoing AI Implementation Support

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Examples

Common Engagement Patterns

Monthly retainer with a fixed number of advisory hours.
Quarterly review and refresh cycles.
Project-based support tied to a specific expansion or pilot.
Grant-cycle aligned support for reporting and outcome measurement.
Train-the-trainer cycles for internal AI champions.
On-call advisory for staff and leadership questions.

What You Receive

Deliverables

Periodic Implementation Summary — What changed, what was added, what is recommended next.
Updated Workflow Documentation — Kept current as workflows evolve.
Additional Training Sessions — Refreshers or new sessions for new staff and use cases.
New Use Case Recommendations — Scoped opportunities for the next cycle.
Tool or Automation Improvements — Refinements to existing AI-supported workflows.
Outcome and Adoption Notes — Practical evidence for leadership, funders, or grant reporting.
Ongoing Advisory Support — Direct access for staff and leadership questions.

Results

Expected Outcomes

Continued improvement after the initial engagement.
Better staff adoption of approved AI tools.
Reduced risk of unused tools or abandoned pilots.
Practical expansion from one workflow to several.
More consistent measurement and documentation of outcomes.

Each cycle should produce visible progress — a new workflow supported, additional staff trained, refreshed documentation, or measurable improvement in an existing workflow.

Newbloom AI’s Approach

Newbloom AI focuses on practical implementation rather than abstract strategy. Ongoing support is structured around real workflows, real staff, and measurable outcomes — not retainer hours that disappear without visible results.

Scope

What This Is Not

This engagement is not:

A managed IT, helpdesk, or cybersecurity service.
A guaranteed support contract with named SLAs unless separately scoped.
An open-ended engagement without defined cadence or scope.
A replacement for the client's own AI policy, governance, or procurement decisions.

It is a practical implementation partnership designed to keep AI adoption moving forward at a pace and scope the client controls.

What's Next

Common Follow-On Paths

Additional AI Adoption Sprints
Additional Workflow Automation Pilots
Internal Knowledge Assistant / AI Agent Build
Custom AI Application Build
Expanded AI Workforce Training
Refreshed AI Readiness Assessment