services - ai consulting - advisory
AI advisory services for teams between hires.
Fractional AI leadership: ongoing oversight of your roadmap, vendors, and risk policy, without waiting on a full-time executive hire to fill the gap.
// start here
Tell us what you're building
Loading form…
Trusted by industry giants, enterprises, and startups
definition
What are AI advisory services?
AI advisory services are ongoing, fractional AI leadership: a senior advisor who reviews your roadmap, evaluates vendors, oversees risk and compliance, and helps build internal AI capability, on a recurring cadence rather than a one-time engagement. It is the model teams use when senior AI judgment is needed sooner than a full-time hire can be found.
key takeaways
Enterprise generative AI spend grew 3.2× from $11.5B in 2024 to $37B in 2025 (Menlo Ventures) — most teams scaling that fast do not yet have a full-time AI executive to match.
78% of organizations already use AI in at least one business function (Stanford HAI AI Index 2025) — the gap is usually leadership bandwidth, not appetite.
Worldwide generative AI spending is forecast to reach $644 billion in 2025 (Gartner, 2025) — advisory exists to keep that spend accountable to someone.
You don't need to hire a full-time Chief AI Officer to get senior AI judgment; you need a recurring relationship with someone who has shipped AI systems before.
// when advisory beats a full hire
When does fractional advisory make more sense than hiring a full-time AI executive? Usually when your AI program is real but not yet large enough to justify a full-time salary, when you are between hires and need continuity, or when you want outside judgment on vendor pitches before committing budget. A senior AI hire is a significant commitment, and getting it wrong is expensive to undo. Advisory gives you the same caliber of decision-making on a schedule that matches your actual pace of AI work, with the option to formalize a full-time role once the program has proven out.
-- ai adoption, in numbers --
what's included - five
What our AI advisors actually do.
Five capabilities, one goal: senior AI judgment, on a cadence that fits your program.
- 01
Fractional AI leadership
Ongoing, part-time oversight from someone who has shipped AI systems before, so your team has a decision-maker even without a full-time AI executive.
- 02
Vendor & tool evaluation
An outside read on the AI vendors and platforms pitching your team, scored against your actual requirements, not their sales deck.
- 03
Roadmap check-ins
Regular review of what shipped, what stalled, and what should move up or down the priority list as the market and your data change.
- 04
Risk & compliance oversight
Ongoing review of your AI usage policy and evaluation criteria as regulation and your own risk tolerance evolve.
- 05
Team upskilling & hiring support
Help scoping your first AI hire, or training the team you already have, so advisory support becomes less necessary over time, not more.
method
How does an advisory relationship actually work?
A Syndell AI advisory relationship runs four stages: an onboarding review, cadence setup, ongoing oversight, and either a handover to your internal team or a renewal.
- 01
Onboarding review
// outcome
-> a current-state read on your AI roadmap, vendors, and risk posture
- 02
Cadence setup
// outcome
-> a recurring check-in schedule matched to how fast your AI program is moving
- 03
Ongoing oversight
// outcome
-> ongoing decisions on vendors, roadmap, and risk, made with an accountable advisor in the room
- 04
Handover or renewal
// outcome
-> either a trained internal team ready to take over, or a renewed advisory relationship
recent work
Programs that stay on track.
clutch: 5.0/5 - google: 4.9/5
- d2c commerce
CLTV management platform for a D2C business
a data program that stayed accountable to a defined roadmap from build through launch
read - case - real estate
Short-term property management platform
a demand-driven platform built and reviewed against a recurring performance cadence
read - case
"Syndell's commitment to making a seamless software for us was impressive."
what to expect
What an advisory relationship looks like
Pricing is structured as a recurring monthly or quarterly retainer, sized to how much oversight your AI program needs. We don't quote a flat number blind. What you get: a defined check-in cadence, vendor and roadmap reviews, and a named advisor accountable for the calls made in between.
the practice
Advisory relationships usually start where a AI strategy consulting engagement leaves off, and pair well with machine learning consulting once a model is in production and needs ongoing oversight. See the complete AI consulting practice this relationship draws on.
frequently - asked
About AI advisory
services.
01What are AI advisory services?
AI advisory services are ongoing, fractional AI leadership: ongoing oversight of your roadmap, vendor evaluations, risk and compliance review, and hiring or upskilling support, for teams that need senior AI judgment without a full-time executive hire.
02How is advisory different from a strategy engagement?
A strategy engagement produces a specific artifact — a roadmap, an operating model — over a defined period. Advisory is the ongoing relationship that keeps that roadmap current as your data, vendors, and regulatory landscape change. Most clients start with strategy and move into advisory once the roadmap is live.
03Who typically needs AI advisory services?
Teams that have started AI work but don't have a senior AI leader on staff yet — often between hires, or scaling faster than their internal expertise. It is also common for teams evaluating whether to make that first AI hire at all.
04How much do AI advisory services cost?
Pricing is structured around a recurring cadence — monthly or quarterly — sized to how much oversight your AI program needs. We don't publish a flat rate because it would mislead you in either direction; book a call for a real estimate against your situation.
05Does advisory replace the need to eventually hire an AI leader?
Not necessarily — for some teams it is a bridge until the right full-time hire is found, and for others it becomes the permanent model because a fractional senior advisor costs less than a full-time executive at their stage. Part of the engagement is helping you figure out which path fits.
-- next issue - your ai leadership gap --
Start your AI advisory relationship.
Tell us where your AI leadership gap is — we'll tell you honestly whether advisory or a full hire fits it better.
