AI Transformation Services
The portal is the product. We’re the team that gets you there.
A fully managed AI execution program that builds the governance, operating structure, skills, and practical AI capabilities needed to move from experimentation to measurable business value — without assembling a full internal AI transformation team.
- 12-month managed engagement
- Built for organizations of roughly 40–500 employees
- First measurable capability in ~90 days
The promise
Build. Launch. Scale.
Build the foundation, launch the first measurable AI capability in approximately 90 days, and create a repeatable system for scaling what works.
How it fits
Everything you’ve seen on this site? That’s where we take you.
The agents, Secure Vault, the business controls — that’s the Awecomm AI Portal, and it’s what your team ends up using every day. Our consulting team wraps the plan around it: the governance, the training, and your first measured win, so you don’t have to figure out AI alone.
- We set up the portal and get your team working in it — you never start from an empty tool
- We start with the agents that already exist, and only build custom when your workflow truly needs it
- You always see exactly what you’re paying for — the program, the portal, and training are each priced on their own
Where leaders get stuck
The questions this program answers.
Where should we begin, and which AI opportunities are actually worth funding?
How do we move quickly without creating security, compliance, legal, or reputational risk?
How do we prevent disconnected tools, shadow AI, and scattered pilots?
How do we train employees, build trust, and make adoption part of everyday work?
How will we prove whether AI is producing meaningful business value?
The model
Four connected workstreams. One governed program.
- 01
Readiness & Governance
Readiness assessment, a company-specific AI policy workbook, ownership, decision rights, guardrails, and a governance cadence that lets teams move with clear boundaries.
- 02
AI Agent Program
Discover friction through department and workflow interviews, build a prioritized opportunity register, and deploy one tightly defined pilot on the Awecomm AI Portal, tied to a business KPI.
- 03
AI Training & Enablement
Self-paced learning, scheduled events, workflow examples, pilot onboarding, coaching, and safe-use guidance so employees use AI confidently and consistently.
- 04
Ongoing Management
Track adoption and outcomes, refine agents and policies, manage priorities, report progress to leadership, and guide expansion into the next initiatives.
The first 90 days
Build the foundation. Discover the right work. Launch and measure.
Days 1–30
Build the Foundation
- Executive readiness workshop and leadership alignment
- AI readiness assessment and draft policy workbook
- Governance structure, decision rights, and meeting cadence
- Communication plan and training platform launch
Days 31–60
Discover & Prioritize
- Awecomm AI Portal setup and enrollment
- Department and workflow interviews
- AI opportunity register and prioritization matrix
- Pilot scope, primary KPI, baseline, and beta group defined
Days 61–90
Pilot & Measure
- Configure an existing agent or build the pilot capability
- Train pilot users with practical workflow examples
- Launch with a defined support and feedback process
- Track adoption and KPI results, refine, and plan expansion
Pilot discipline
One department.One workflow.One user group.One KPI.
General usage and employee enthusiasm are not treated as proof of ROI. Every pilot starts with a business problem, a documented baseline, and a measurable definition of success — so leadership can decide to expand, refine, pause, or stop based on evidence.
What every pilot is measured on
- Business KPI
- One primary outcome tied to the workflow — cycle time, throughput, conversion, quality, cost, capacity, or risk reduction.
- Baseline
- The current condition before deployment, documented well enough for a credible comparison.
- Adoption
- Who is using the capability, how often, and whether it is becoming part of the intended workflow.
- Quality
- Accuracy, consistency, user confidence, exceptions, and required human review.
- Value decision
- Expand, refine, pause, or stop — based on measured evidence and strategic fit.
Your team
Built for focused client involvement.
Awecomm AI manages the day-to-day program. Your side stays focused and practical:
Executive Sponsor
About 1 hour per month
Set direction, remove barriers, approve strategic priorities.
Steering Committee
About 1 hour per month
Approve policies and pilots, review risk and results, make expansion decisions.
Operations Team
About 1 hour per week
Coordinate access, schedules, stakeholders, and approvals.
Department Champions
1–2 hours per week during active initiatives
Represent the workflow, support testing, encourage adoption.
What the program includes and what it does not
What you are buying
- A practical AI strategy tied to business priorities and real workflows
- Clear policies, ownership, guardrails, and decision-making structure
- A prioritized portfolio of AI opportunities based on value, feasibility, and risk
- A first pilot deployed into a defined workflow and measured against an agreed KPI
- Training that helps employees use AI safely and effectively
- Ongoing management that keeps the program aligned as the business evolves
What this service is not
- A one-time workshop or strategy report you must execute alone
- A generic software subscription without governance, training, or implementation support
- An open-ended custom development engagement driven by interesting technology ideas
- A promise to automate the entire organization in 90 days
Investment
$4,000–$15,000 per month
A 12-month managed engagement. The monthly fee is based mainly on organization size, approval layers, governance needs, and project-management complexity.
AI Training (per user/month) and the Awecomm AI Portal are separate, itemized subscriptions — never bundled into the transformation services fee.
Start with the first 90 days.
Build the foundation, launch the first measurable AI capability in approximately 90 days, and create a repeatable system for scaling what works.