Advisory & Architecture

Strategic Technology Consulting

Updated April 2026

4-12 wks

Typical engagement length, discovery to recommendation

Industries covered by ColdAI's consulting practice

100%

Engagements pair human consultants with AI agent executives

Source: ColdAI internal benchmark, 2026

ColdAI's AI strategy consulting helps boards, executives and technology leaders make decisions about AI, agent systems and distributed ledgers that they can defend later. Work starts from one question, tests it against your systems, data and contracts, and ends in written findings, a target architecture and a sequenced plan that your own engineers recognise as buildable.

“Most enterprise AI strategies fail because they treat AI as a procurement decision rather than an architectural one. We work backwards from the business outcome and build the architecture that actually compounds.”

Dr. Shayan Salehi H.C.— Founder & CEO, ColdAI

What capabilities does ColdAI bring to Strategic Technology Consulting?

AI readiness assessment

Technology due diligence

Enterprise architecture review

Sequenced investment roadmap

In depth

Go deeper into consulting work

One method page for each decision a sponsor faces most often: readiness, sourcing, vendor choice, the funding case and board oversight. Each is written so your own team can use it whether or not you work with us.

Who asks us in

Most consulting work starts with a specific pressure, not a general wish to transform. The board has asked for an AI position by the next quarterly meeting, and three vendors have given three incompatible answers. An acquisition target claims a proprietary agent platform, and the deal team needs to know what is actually in the repository. A regulator has asked how a model-driven decision is governed, and nobody owns the answer. A Hedera pilot worked in a sandbox and now needs a case for production funding. The sponsor is usually a CEO, CTO, CIO or deal lead who needs an independent view, written down, that their own engineers will recognise as technically sound.

How a consulting engagement runs

Each step ends in a document and a decision that belongs to you

Scoping and brief

Output: a written brief restating the question, the people we need to interview, the documents and systems we need to see, and the proposed engagement model. Decision: you confirm the question and access list, or decide not to proceed.

Discovery

Stakeholder interviews and review of architecture documents, code repositories, data sources, contracts and vendor proposals. Output: a current-state findings memo, each finding tied to its source. Decision: which findings the recommendations must address.

Options analysis

Output: an options paper setting out two or three viable paths, with cost drivers, risks, dependencies and what each choice rules out later. Decision: select a preferred option, or ask for one to be tested further.

Recommendation and architecture

Output: a target architecture, a sequenced roadmap and a board summary. Decision: approve, amend or defer the investment, and name the owner for each initiative.

Handover and follow-through

Output: a handover session with your delivery teams and a decision log. Decision: close the engagement, move to retained advisory, or take the roadmap to build with your own teams or another firm.

What you receive

Deliverable	What it contains	Who uses it
Current-state assessment	Findings on systems, data, skills and vendor commitments, each linked to the interview or document it came from	CIO or CTO and the programme sponsor
AI readiness assessment	Data availability and quality by use case, infrastructure gaps, governance gaps and skills gaps, rated per business unit	Business-unit leads and the data function
Options paper	Two or three viable paths compared on cost drivers, risk, dependencies and reversibility	Executive committee
Target architecture	Context diagram, integration inventory, data flows, trust boundaries and architecture decision records	Platform, security and enterprise-architecture leads
Sequenced roadmap	Initiatives in dependency order, with entry criteria, owners and a decision point before each funding stage	Finance, the PMO and the sponsoring executive
Board summary	A short paper stating the recommendation, the risks being accepted and the questions directors should keep asking	Board and the audit or risk committee

Four ways to engage

Sprint Assessment

Two to four weeks. A focused technology audit or readiness check on one question, ending in findings and a short list of priorities.

Strategic Engagement

Three to six months. Full discovery, options analysis, target architecture and a sequenced transformation roadmap.

Retained Advisory

Twelve months or more. Regular sessions with the C-suite to review progress, vendor proposals and new technology decisions as they arise.

Board Advisory

Ongoing. Technology governance support for the board and its committees, including briefing papers and challenge on management proposals.

Choosing an adviser: an honest comparison

	Internal team	Large consultancy	ColdAI
Knowledge of your organisation	Deepest. Knows the history, the politics and where the data really lives	Built fresh for each engagement unless the firm is already embedded	Built during discovery; we depend on your people for context
Independence from past decisions	Can be constrained by existing contracts and earlier choices	Independent of your history, though some firms hold vendor alliances	We do not resell the platforms we assess and disclose any vendor relationship at scoping
Hands-on depth in agents and ledgers	Depends on hiring; often thin for agent systems and distributed ledgers	Specialist teams exist but may sit apart from the strategy team	Advisers are practising engineers and researchers who build these systems
Breadth across functions and countries	Limited to your own footprint	Strongest. Can cover operating model, people, tax and many jurisdictions at once	Narrower. We concentrate on technology and architecture decisions
Capacity for large programmes	Constrained by headcount and competing priorities	Better placed to staff large, multi-workstream programmes	A small senior team; not suited to running a large programme office
Cost and time to start	Lowest direct cost; starts when people can be freed up	Typically higher fees and longer procurement	Sprint assessments run two to four weeks; fees agreed in scoping

When not to hire us for advice

You need dozens of consultants on site at once
The decision is already made
The question is organisational or commercial, not technical
Your architects can answer it

Questions from a first consulting call

Fees are agreed during scoping and depend on the engagement model. Sprint assessments and strategic engagements are normally quoted as a fixed fee against a written scope, so the cost is known before work begins. Retained and board advisory usually carry a recurring fee for an agreed level of availability. Travel and third-party costs are listed separately. If the scope changes, we agree the change in writing before doing the extra work.

The people you meet during scoping are the people who do the work. Each engagement has a named lead who stays for its duration, supported by specialists in AI agents, data or distributed ledgers as the question requires. Our advisers are practising engineers and researchers who build these systems. We name the team in the proposal and tell you in advance if anyone changes.

You do. Written deliverables prepared for you, including reports, diagrams, roadmaps and board papers, pass to you on payment and can be shared internally or with other advisers. We keep our general methods, templates and know-how, which we use across clients. We never publish or reuse material that identifies your organisation without written permission.

We sign your NDA or ours before any documents change hands. Materials sit in access-controlled workspaces limited to the named team, or inside your own environment where your policy requires it. We ask for read-only access to repositories and systems, never production credentials. At the end of the engagement, confidential material is returned or deleted on request, and we confirm this in writing.

With a scoping call, usually with the sponsoring executive and one technical lead. We follow it with a short written brief covering the question, who we need to speak to, the access we need, the proposed model, timing and fee. Once you accept the brief and sign the engagement letter, discovery interviews are scheduled. A sprint assessment then runs two to four weeks from that point.

That is your decision. Some clients take the roadmap to their own teams and close after the handover session. Others retain us for twelve months or more to review progress and vendor proposals. Where the next step is building, ColdAI's development practice can take it on, but the recommendation never assumes we will, and we say so when another firm fits better.

Bring us the decision you need to make

Send a short note describing the decision, the deadline and who has to be convinced. We will reply with a view on whether a sprint assessment, a strategic engagement or advisory fits, or whether you need outside help at all.

Discuss a consulting brief

Where advice sits between a decision and a running system

Consulting is the first link in a chain. The plan it produces should be usable by whoever builds and runs the result, including teams other than ours.

A decision to make
A board paper, a vendor choice, an acquisition or a pilot asking for production funding.
Independent assessment
Findings tied to interviews, documents, code and data, with options compared on cost, risk and reversibility.
Target architecture
The design and decision records that make the recommendation concrete enough to estimate and build.
Build
Your teams, another firm or ColdAI's development practice delivers against the agreed design.
Operate and review
The system runs with named owners; retained advisory or managed services can follow if needed.

Conceptual view of how a consulting engagement hands over to delivery and operation. It is not a fixed sequence of contracts.

Five decisions sponsors bring to an AI strategy engagement

Most engagements begin with one of these decisions. Each has its own method page, so you can see what good evidence looks like before deciding whether you need outside help.

The sponsor's decision
One question with a deadline and a person who has to be convinced.
Are we ready?
Rating specific use cases on data, infrastructure, governance and skills: see the AI readiness assessment method.
Build, buy, partner or wait?
Choosing how to source a capability on differentiation, data, reversibility and accountability: see build vs buy AI.
Which proposal?
Putting incompatible vendor proposals on one footing and scoring them: see AI vendor evaluation.
Will finance approve it?
Baselines, cost drivers and staged funding with stop criteria: see the AI business case guide.
How will the board test it?
The questions directors put to management and what credible answers contain: see board oversight of AI.

Conceptual map of the decisions that most often start a consulting engagement. Real engagements frequently combine two or more of them.

Matching the engagement model to the decision in front of you

The four engagement models differ mainly in how long the question stays open. Choose by the decision, not by the size of the budget.

If
You face one question with a near deadline, such as a board paper or a choice between two vendors.
Then
A sprint assessment focused on that single question, ending in findings and a short list of priorities.
A narrow scope keeps the evidence deep enough to rely on within a short window.
If
The choice shapes several years of platform, data or ledger work across business units.
Then
A strategic engagement with full discovery, an options paper, a target architecture and a sequenced roadmap.
Decisions that are expensive to reverse deserve options compared side by side before anyone commits.
If
Vendor proposals and technology calls keep arriving throughout the year.
Then
Retained advisory, with regular sessions to review proposals and progress as they come up.
Consistent judgement across many smaller decisions prevents slow drift away from the agreed architecture.
If
Directors need to question management's technology proposals with confidence.
Then
Board advisory: briefing papers and challenge for the board and its committees.
Oversight works best when directors have an informed view that does not depend on the people they oversee.
If
Your own architects can answer the question and want a second pair of eyes.
Then
Ask for a peer review of their design instead of a full engagement.
Paying for discovery your team has already done adds cost without adding certainty.

Signs a technology decision needs an independent review

None of these on its own means you need outside advice. Two or three together usually mean the decision deserves a second, documented look before money moves.

0 of 6 checked

The choice is hard to reverseMulti-year platform contracts, data migrations or ledger designs that other organisations will build on.
Vendors wrote most of the analysisThe business case and the architecture both come from the companies hoping to win the work.
Your teams disagree on technical groundsEngineering, data and security leads hold different views and nobody can settle it with evidence.
Someone will later ask how it was decidedA regulator, an auditor, an acquirer or the board's risk committee will want the reasoning on paper.
The case relies on an unproven capabilityThe value depends on a model, agent or ledger feature nobody has seen working on your own data.
A sandbox success is asking for production moneyA pilot worked in isolation and now needs funding to reach real systems, users and controls.

What a defensible recommendation contains, whoever writes it

Boards can use this table to read any technology recommendation, including one from your own team or another adviser.

Element	What to expect	What should worry you
Findings	Each finding names the interview, document or system it came from	Conclusions with no trail back to evidence
Options	Two or three viable paths, including doing less or waiting	A single option presented as inevitable
Risks accepted	The risks of the chosen path stated plainly, with who carries each	Risks listed only for the options that were rejected
Sequencing	Initiatives in dependency order with a decision point before each funding stage	A programme funded in one approval with no point to stop
Reversibility	What each choice rules out later, and what it would cost to undo	No mention of exit terms, lock-in or migration effort
Ownership	A named business owner for every initiative after handover	Ownership left with a project team that will disband

Why technology strategies stall after approval

The roadmap has no decision points

Early signalEvery initiative is approved at once and progress is reported only as percentage complete.

MitigationAttach entry criteria and a funding decision to each stage, so the plan can be paused or changed on evidence.

Strategy was written without the people who will build it

Early signalEngineers first see the architecture when they are asked to estimate it.

MitigationInvolve platform, data and security leads during options analysis, not after the recommendation is signed.

The architecture follows one product's boundaries

Early signalIntegration points, data models and identity choices match a single vendor's documentation.

MitigationDesign around your own systems and obligations first, then test which products fit that design.

Nobody in the business owns the outcome

Early signalThe steering group is chaired by the programme manager rather than the executive whose process changes.

MitigationName an accountable business owner for each initiative before funding is released.

How we keep our advice independent

Independence is a working practice rather than a promise. We do not resell the platforms we assess, and any vendor relationship is disclosed at scoping, before you decide whether to proceed¹. Every finding in our reports points to the interview, document or system it came from, so your team can check our reasoning instead of taking it on trust.

The recommendation is written as if someone else will deliver it. Where building is the next step, our development practice can take it on, but the plan never assumes that, and we say so when another firm or your own engineers are better placed¹. If what you need is an endorsement of a decision already made, we are not the right adviser: we write down what we find.

Frequently asked questions

Can you review a vendor proposal we have already received?

Yes. A proposal review is a common reason to run a sprint assessment. We read the proposal against your systems, data and contracts, test the claims that carry the business case, and set out what the vendor has not addressed. The output is a short written view you can use in negotiation or in a board paper, along with the questions to put back to the vendor.

Do you work alongside another consultancy or our internal architects?

Often. Many engagements sit next to an existing programme, an internal architecture function or a larger consultancy running the operating-model work. We agree the boundaries during scoping so the work does not overlap, share findings with the people you nominate and keep our part focused on the technology and architecture decisions.

How is AI strategy consulting different from a general technology strategy review?

An AI strategy is tested use case by use case against data, governance and the people who will run each system, because those constraints differ sharply between business units. A general technology review tends to work at the level of platforms and budgets. In our engagements the AI questions sit inside the wider architecture, so the recommendation still fits your identity, integration and security design.

Which technology areas does the consulting practice cover?

Decisions about AI, agent systems and distributed ledgers, and the data, integration and security architecture around them. That includes readiness and due-diligence work as well as architecture reviews and investment roadmaps. Questions that are mainly about operating model, organisation design or commercial strategy are handled by our capabilities practice instead.

What do you need from us in the first week?

A sponsor who can make decisions, a technical lead who can open doors, and the access listed in the brief: the people to interview, the documents to read and read-only access to the repositories and systems involved. The sooner samples and documents arrive, the more of the engagement goes on analysis rather than on waiting.

What if the findings are uncomfortable for the sponsor?

We share emerging findings with the sponsor before the final report, so nothing arrives as a surprise in front of the board. The findings themselves do not change to suit an audience. If evidence contradicts the expected answer, the report says so, explains what the evidence shows and sets out the options that remain.

Sources

Strategic Technology Consulting: engagement models, adviser comparison and FAQs — ColdAI