// Fractional AI Leadership

Make one person accountable for turning AI into measurable operating improvements.

Fractional AI leadership and implementation without a full-time hire.

Sidekick works with your executive sponsor and workflow owners to choose the right problems, coordinate stakeholders and systems, put changes into real use, and measure whether the operation is better off.

Every workstream begins with a baseline and ends with a decision: scale, improve, hand off, hold, or stop.

See how the engagement works →

Ownership signalThree decisions need executive direction.

Sidekick has prepared the context, recommendation, and next move for each one.

82%on track

6Live workflows+2 this quarter

4/5Teams activeAdoption rising

12/12Controls currentNo open gaps

42hCapacity returnedThis month

Decisions for the owner3 ready

NowFinance knowledge accessRisk review and recommendation attachedApprove

WatchSales adoption driftIntervention plan preparedReview

ReadyRenewal briefing workflowPilot target achievedScale

Operating rhythmAlways on

01Signal02Prepare03Approve04Deploy

Next portfolio reviewThursday · brief already assembling

// Sample outputIllustrative data to show the operating model. A real portfolio is built around your teams, controls, tools, and measurable outcomes.

// Choose the measure before the build

The outcome depends on the workflow. The accountability does not.

Capacity: less manual preparation, coordination, repeated context, or executive review.

Cycle time and quality: faster movement, fewer corrections, clearer exceptions, and less avoidable rework.

Capability and adoption: useful work the organization could not previously support, owned by the people who use it.

Before implementation, Sidekick and the executive sponsor agree on the operating change, baseline, review boundary, and evidence needed to decide what happens next.

// What changes

From scattered AI activity to an operating system someone owns.

Sidekick closes the gap between what may be happening across the business today and the controlled, measurable operating state leadership needs.

Tool use spreads without shared rules

People may use AI tools without clear guidance on client information, company data, acceptable use, or human review.

Approved tools and clear data boundaries

The team uses an approved set of tools, follows clear rules for information, and knows when to request permission or human review.

Experiments compete for attention

Teams try isolated tools and automations, but the work is not ranked against business priorities or the effort needed to support it.

A portfolio tied to business priorities

Leadership ranks each workflow against a defined outcome, owner, baseline, operating cost, and decision to scale, improve, hold, or stop.

Nobody can see the whole system

Leadership lacks one view of the tools in use, the workflows they touch, who owns them, and where controls or decisions are missing.

One operating view

Tools, workflows, owners, data boundaries, controls, adoption, and open decisions are visible in one managed portfolio.

Strategy exists, but ownership is unclear

Leadership sees the opportunity, but no one is accountable for coordinating stakeholders, implementation, adoption, and measurement.

One operator accountable to the outcome

Sidekick coordinates the change and reports against the agreed business measure. Your executive sponsor keeps decision authority.

// What Sidekick is accountable for

One owner from opportunity to operating result.

Define the outcome and baseline

Choose a priority workflow, record how it works today, and agree on the measure and review boundary before changing it.

Coordinate the people and systems

Align the executive sponsor, workflow owners, IT, data access, implementation partners, and decision rights needed to make the change real.

Build the smallest useful change

Configure the workflow, instructions, context, permissions, controls, and human review points needed for real use.

Enable adoption and ownership

Work with the people who will use and own the workflow until they can operate it without Sidekick carrying the knowledge.

Measure and decide

Review use, quality, exceptions, operating impact, and support demand. Then scale, improve, hand off, hold, or stop based on evidence.

// How the engagement works

Start with evidence. Build for real use. Transfer what works.

Define

Name the workflow, sponsor, owner, current process, baseline, target range, review boundary, and the conditions to scale or stop.

Implement

Build the smallest useful change, coordinate access and stakeholders, test it on real work, and correct what fails.

Adopt and decide

Support the workflow owners, measure use and operating impact, then scale, improve, hand off, hold, or stop.

The client keeps the workflow, context, controls, runbook, decision history, and operating ownership.

// The Journey

Where this takes you.

Task-based AI

Using AI to draft, research, and answer questions. The business still runs on people.

Where most start

Tool adoption

AI tools across apps. Some automation. Individual tasks move faster, but operations are unchanged.

Common today

L2 / Destination

AI operations

Workflows that run without manual initiation. Infrastructure your team owns, operates, and builds on.

Where we take you

Custom AI infrastructure

Purpose-built agent systems on cloud primitives (Bedrock, Vertex, Agent Core). Dedicated engineering team required. Scoped by Chase, specialist-built.

Outside this scope

// Proof before scale

Every workstream starts with a measure and ends with a decision.

We define a clear measure for each workstream, record the before state, and use operating evidence to decide what happens next. Projections stay projections. Pilot results remain bounded until sustained use supports a broader conclusion.

What you will be able to see

The before state

The current workflow, its exceptions, and the baseline measure, recorded before anything changes.

Who used it, and how often

Eligible cases versus actual use, by the people who own the workflow, not a demo account.

What passed, failed, or needed correction

First-pass acceptance, corrections, exceptions, and escalations, counted honestly.

What changed in the operating measure

The bounded before-and-after comparison on the measure the workflow was built to move.

What it cost to run and support

Delivery, review, support demand, and total cost, so the result is judged against what it took.

What the evidence supports next

Scale, remediation, handoff, hold, or stop. Every workstream ends with a decision, not a slide.

Each engagement defines the outcome, baseline, comparison window, target range, and the conditions to scale, hold, or stop.

// One Fractional Engagement

Start at the scale the work can support.

Start with one measured workflow

A bounded start for a clear operating problem.

Establish the current process, target, controls, and stop or scale decision before expanding.

Use this route when the problem, sponsor, and evidence can be clearly named.

See what the start establishes

Scope follows the workflow, people, access, risk, review burden, and evidence needed. A bounded start does not imply a fixed number of tools, automations, or technical systems.

→Current process and accountable sponsor
→Baseline, target, and review boundary
→Smallest useful workflow change
→Real-use review and correction
→Stop, improve, hand off, or scale decision

ScopeConfirmed after qualification

● Bounded to one named workflow

Ongoing Fractional ownership

One accountable owner for the AI operating portfolio.

Coordinate the roadmap, workflows, controls, adoption, measurement, and delivery partners across the operation.

Use this route when several workflows, teams, systems, or implementation partners need ongoing ownership.

See the ownership scope

Fractional owns the operating agenda and coordinates implementation. Specialist delivery is scoped only when the workflow and operating requirements justify it.

→Roadmap and workflow portfolio
→Controls, adoption, and review
→Measurement and decision records
→Implementation-partner coordination
→Capability and ownership transfer

Starting from$3,000 CAD / month

● 90-day minimum engagement

Sidekick takes a small number of engagements at a time. Timing and capacity are confirmed during qualification.

The Fractional starting price is shown in CAD. Final scope and any separately required specialist work are confirmed after qualification.

// About

Built and delivered by Chase Bernier

Chase on LinkedIn →

Chase founded Sidekick after more than a decade in B2B partnerships and revenue operations at SaaS, marketplace, and healthcare-data companies. Jobber. DoorDash. DrugBank.

The thesis is straightforward. Most owner-operated and mid-market firms cannot justify a full-time Head of AI yet. The fractional model is the bridge. Built right, it sunsets once the team is running the system without him.

Based in Metro Vancouver, BC. Selectively taking new engagements.

// What This Is

Know what you are buying.

An embedded operator owns the AI adoption portfolio, selects the workflows worth changing, coordinates the build, and transfers the operating capability to your team.

What this is

✓An operator accountable for the outcome, not a block of weekly hours
✓Workflows configured around how your business actually runs
✓A scoped first workflow brought into live use with review and adoption tracked
✓Your team trained to operate the system

What this is not

×A custom multi-agent build with bespoke MCP servers or API plumbing
×A weekly strategy call without execution
×A retainer for unbounded advisory hours
×A permanent fractional executive seat

noEvery engagement needs a workflow owner on your team. If that role is missing, start smaller or hire first.
noCustomer-facing agents that touch PII require a dedicated security review before scope. We will say no until that exists.
noIf operating use does not materialize, the engagement pauses for a re-scope rather than rolling forward by default.

// Common Questions

What buyers ask before signing.

Can we keep using the workflows after the engagement ends?

Yes. You receive a license to keep using the delivered workflows, configurations, and documentation inside your organization after the engagement ends. They run in your existing tools, with no proprietary Sidekick platform or ongoing Sidekick subscription.

What happens if we want to leave mid-engagement?

After the three-month minimum, you can end the engagement at any month boundary with 30 days notice. The workflows already in production stay with you.

What tools do we have to switch to?

In most cases, one: Claude subscriptions for your team, which include Cowork. Anthropic's Claude is our default recommendation and usually the only new tool and cost. It connects natively to most major tools your team already uses: Gmail, Calendar, Drive, Slack, HubSpot, and others. We are model-agnostic, though, so if your team already runs another agent platform such as OpenAI, Microsoft Copilot, or Amazon Bedrock, we build on that instead. For tools outside the standard ecosystem, we scope the integration path in discovery.

Is Chase the operator on every engagement?

Yes. Chase is the operator on every engagement. There is no junior team. That is also why capacity is capped.

What data leaves our tenants?

Data handling is defined before we build. Work happens in client-controlled accounts and tools wherever practical. Any data sent to an AI provider or connector follows the permissions, plan, and settings you approve. Sidekick does not use client data for model training. Provider training and retention terms depend on the service and plan you choose, and we document that boundary before launch.

Accepting new clients

Bring one workflow that is creating real operating pressure.

Bring the current process, the people involved, and the constraint that keeps getting in the way. We will tell you whether a bounded start, ongoing Fractional ownership, Solo, or another route makes sense.

If it is not the right fit, we will tell you why and suggest a more appropriate route when we can.

Looking for a personal AI workspace instead? Sidekick Solo is built for individual professionals. →