Enterprise AI transformation. Solve the bottleneck. Make the work visible.
We work with business and IT teams to diagnose bottlenecks, build AI into real workflows, and establish oversight. A complete engagement—from consulting to implementation and handover—across industries and functions.
Three problems worth solving.
Start with a business problem. Define what a useful change would look like.
01
Work gets stuck.
Repeated input, scattered information and slow handoffs consume the team’s time.
What we work toward
Map the bottleneck, establish a baseline and prioritize a bounded AI pilot.
02
Decisions cannot be traced.
Inputs, AI actions and human approvals are hard to reconstruct.
What we work toward
Design source records, review points, access rules and exception handling into the workflow.
03
Managers lack visibility.
Leaders need to see adoption, spend and where work needs attention.
What we work toward
Agree usage and cost reporting by person or team, with owners and access boundaries.
01 / Scope
Connect the work. Build in control.
The solution spans systems, knowledge, people and governance. Marketing is one starting point, not the limit.
A workflow the enterprise can run and govern
01Infrastructure & access
Approved environments, systems and data access.
02Knowledge & Skills
Owned sources and reusable instructions for selected tasks.
03Working workflows
Connected tasks with review, exception handling and acceptance.
People throughoutTrain people on the work they will actually run.
Management throughoutMake ownership, approvals, usage and cost review explicit.
Agree the control and reporting requirements before building.
View the five delivery workstreams
01
Infrastructure & access
Assess existing models, systems, approved data access and deployment requirements.
What you receive
An agreed access and deployment plan.
02
Knowledge & Skills
Organize authorized knowledge and turn repeatable methods into versioned Skills.
What you receive
A knowledge and Skill inventory with owners and access rules.
03
Workflow co-build
Co-build tasks, handoffs, human approvals and exception handling.
What you receive
A tested workflow and runbook.
04
Training & enablement
Train users and maintainers through real tasks.
What you receive
Practical training, guides and named maintainers.
05
Visibility and accountability
Agree records for AI usage, cost, outputs and review; define who can see them and who acts on exceptions.
What you receive
A scoped reporting and audit design, with review owners.
Integrations, hosting, data access and reporting are scoped with IT. Availability depends on the agreed systems and permissions.
02 / Delivery
From diagnosis to a team that can take over.
Each stage answers a decision: what to do, how to build, what changed, and what comes next.
01
Diagnose & establish a baseline
Your input
A priority problem, business owner and representative work.
MIA delivery
A pilot roadmap, cost scope, baseline and acceptance criteria.
Acceptance
Business and IT owners agree scope, access and success criteria.
02
Co-build a working pilot
Your input
Approved information, access and time with domain experts.
MIA delivery
A working pilot with sources, approvals and exception handling.
Acceptance
Agreed test tasks run end to end; results and decisions can be inspected.
03
Validate & train the team
Your input
Representative tasks, reviewers and future users.
MIA delivery
Before-and-after evaluation, corrections and practical training.
Acceptance
Review quality, cycle time and cost against the same baseline.
04
Hand over & extend
Your input
Named maintainers and the next business priority.
MIA delivery
Knowledge and Skill assets, runbooks, responsibilities and next-stage scope.
Acceptance
The team can run the accepted scope; agree asset ownership and ongoing dependencies.
Forward Deployed Engineering (FDE): MIA engineers co-build with your business and IT teams, from a scoped problem to a tested workflow and team handover.
03 / Internal case
Inspect the work behind the approach.
Our internal practice offers a starting point for discussion. It does not establish a customer’s results.
View dated internal practice and its limits
Teams covered by Q&A
10
Jun 15, 2026 – Jun 18, 2026
Completed Q&A sessions
11
Jun 15, 2026 – Jun 18, 2026
Recorded runs of one briefing Routine
65
Cumulative records as of Aug 13, 2026
Source: internal Round 3 training retrospective, reviewed Jun 22, 2026. The team and session counts describe this training window.
One daily briefing Routine: recorded run statuses
Cumulative records as of Aug 13, 2026
Marked success
63 / 65 runs
Not marked success
2 / 65 runs
Source: internal operating review. The cumulative start date is not recorded. “Success” is a system run status, not a quality acceptance or financial result.
Insight reports: organize the method before scaling output.
Starting work pattern
Social data was read, grouped and summarized through substantial manual work, with methods and templates spread across tasks.
Documented internal practice
A unified report Skill brought together context, handbook, method and references. Report drafts could be generated, with people confirming topics and brand counts.
June 2026 retrospective: historical-case testing, not customer delivery. Counting, links and grouping still needed validation.
Daily briefing: move from repeated requests to an operated Routine.
Starting work pattern
The starting pattern depended on a person initiating each AI task and assembling its output.
Documented internal practice
A daily briefing was packaged as a Routine and repeatedly run. The operating review checked actual run statuses and identified quality and reuse as further evaluation work.
August 2026 operating review: one observed Routine. Its run record does not prove every output was approved or reused by other teammates.
These records cover a training window and one Routine. They do not establish company-wide completion, team reuse, time savings or ROI.
Inspect the kind of output we build around
These are report and creative examples. They show inspectable deliverables, not enterprise deployment results or promised returns.
