Artificial Intelligence Consulting Services that guide your AI investment priorities.
We deliver AI consulting services for business and technology leaders choosing what to fund. We rank use cases against your data and systems, then hand over a written decision with the prerequisites and sequence.
- 150+Projects delivered across 12 countries since 2012
- 100+Senior in-house engineers, six countries
- 5.0Unified rating across 61 client reviews on Clutch
- ISO 27001Certified security practice, audited by Quay Audit UK
- ISO 9001Certified quality management, audited by Quay Audit UK
01Overview
A common basis for the AI funding decision
Our AI consulting gives your sponsors a common basis for choosing between competing proposals. The engagement ends with a recommendation your team can use to commission work, with implementation scoped separately.
- Experience operating AI productsOur experience includes building and operating revenue-generating AI products. We bring their engineering and operating considerations into the assessment.
- Advisers who also buildYou can commission implementation from unicrew as a separate engagement. The recommendation and its reasoning also support a decision to execute in-house or with another partner.
- Agents built to your specificationWe build client agents to their requirements. When an agent fits a use case, consulting defines the workflow and requirements for a separately scoped build.
- If the decision is already madeAI integration implements a selected workflow, a fractional Chief AI Officer provides continuing AI leadership, and AI and ML development delivers a chosen model task.
02Proof
Engineering experience behind the recommendation
Understanding what a feature will require in service helps you judge whether to fund it. We bring client engineering and owned-product operation to that assessment.
- Workflow requirements carried into implementationOur work on Solus Connect's biometric authentication platform followed the client's defined workflow and requirements. In a separate engagement, we built a semi-automated component to support operators entering data sets into a database.2xdata-entry throughput, from about 5,000 datasets a month typed by hand
- Owned products in operationunicrew owns and operates revenue-generating AI products. Snaplore has active users and uses Whisper, GPT models and AssemblyAI. Talkmetry is our call-intelligence product for HubSpot, using GPT and AssemblyAI.Up to 60%less time on documentation, reported by Snaplore's own clients
- Company credentials with an external auditunicrew holds ISO 27001:2022 and ISO 9001:2015 certifications, renewed through a multi-stage audit with Quay Audit UK. We also have ISTQB-certified QA engineers. The assessment defines the security and evaluation requirements for your intended AI use.ISO 27001:2022 and ISO 9001:2015, renewed through a multi-stage audit with Quay Audit UK
03Compare
Choose how to assess your AI investment options
A capable internal owner can lead the decision with input from business, data and engineering teams. External advice adds a defined assessment or strategy scope; data preparation addresses the prerequisites. Our AI integration roadmap explains why those prerequisites affect the sequence.
| Advisory from unicrewunicrew | A strategy firm that does not buildAdvise | Wait, and fix the data firstWait |
|---|---|---|
| Best forA ranked funding decision grounded in your application, data and engineering constraints, with implementation available as a separate engagement. | Best forA broader strategy or organizational transformation assessment, with implementation assigned to your internal team or an engineering partner. | Best forUse cases whose feasibility depends on resolving identified data access, ownership or quality requirements before a build can be justified. |
| What it asks of youBusiness owners, technical context and operating figures for the assessment, followed by your decision on funding and implementation. | What it asks of youA sponsor for the strategy and an implementation owner who can test the recommendations against system and delivery constraints. | What it asks of youNamed data owners and a scoped preparation plan, with criteria for deciding when the affected use cases are ready to reassess. |
| You end up owningThe agreed ranked roadmap, governance recommendations and ROI projection, with the assumptions needed to act on them. | You end up owningThe strategy and organizational recommendations in the advisory scope, with a defined handover into implementation. | You end up owningThe preparation work and validation records in scope, giving the next investment decision a clearer basis. |
Quick self-check
Tick what is true for you. The read-out updates as you go.
0 of 4 true
Start with the build or the leadership
For a selected workflow, AI integration scopes its implementation in your systems. For continuing AI strategy and governance ownership, consider a fractional Chief AI Officer. Consulting fits when an investment decision needs a defined assessment.
Talk it throughDefine the decision to assess
One question gives us a starting point for scoping. We identify the process, its data and system dependencies, and the evidence needed to compare the available approaches.
Talk it throughStart with the readiness assessment
A fixed-scope AI readiness assessment can bring the use cases and their prerequisites into one decision. We agree which systems and data sources are in scope before assessing them.
Book a discovery callScope the investment priorities
When several decisions need to be made together, we define the business areas and compare their candidate use cases. The scope identifies the governance and data work needed to support the recommendation.
Book a discovery callA decision first, then a roadmap
A portfolio assessment gives the sponsor a written decision on funding and sequence, with the assumptions behind it. Your team can use that recommendation to commission the next work.
Start with discoveryAI pays off when the steps come in the right order. We score each use case against the data and systems you run, and rank what to fund first. Where the data needs work, we sequence that work ahead of the build.
Tural MamedovCo-Founder and CEO, unicrew04Capabilities
What our AI consulting covers
We assess the decisions and prerequisites that shape an AI investment.
- AI readiness assessment
AI readiness assessment
Keep, rebuild, removeWe assess the systems and data sources in scope, mark them keep, rebuild or remove, and rank the AI use cases by return against risk. The readiness offer includes a costed plan for the top one.
- AI use case discovery
Use-case discovery and ROI validation
ROI projectionWe compare use cases by expected business value, feasibility and risk. We document cost and return assumptions, including the evidence a prototype or pilot would need to justify a larger investment.
- AI data readiness assessment
Data and platform readiness
Where your data livesWe map data sources, ownership, completeness and available interfaces. The recommendation identifies access and pipeline work needed for the candidate use cases and places those prerequisites in the sequence.
- AI build versus buy analysis
Build, buy, or integrate
API or trained on your dataWe compare a configured product, API integration and custom model development against the workflow and data requirements. The written recommendation explains the fit, dependencies and cost assumptions for the chosen approach.
- AI agent feasibility study
Agent and automation feasibility
Where agents breakFor an agent that carries out a multi-step task, we define the intended actions and review requirements. We compare that option with ordinary automation or a configured tool before recommending a build.
- AI governance and compliance
Governance, compliance, and evaluation
GDPR, HIPAA, sector rulesWe define evaluation criteria, human review, access and data-use responsibilities. Your legal and compliance owners confirm applicable rules; the evaluation and human review design becomes part of the scoped recommendation.
05Trust
A written basis for the next investment
The recommendation records why each candidate belongs in the sequence and what must be true before funding it. You can use the agreed deliverables to direct the next work in-house or with an implementation partner.
- A decisionA ranked shortlist, not a list of possibilitiesScored on the value it would create and on what your data can actually support
- SequencedWhen each use case is ready to fundWhere the data needs work first, that work is sequenced ahead of the build
- YoursThe roadmap, the governance framework, the ROI modelWritten to stand on its own if you execute in-house or take it to another firm
06Stack
Technology choices follow the use case
We assess technologies against the data, workflow and operating requirements of the candidate use cases. Our experience includes GPT models and speech processing in owned products, plus Python, AWS Bedrock and LangChain in an internal project-management proof of concept.
Python
OpenAI / ChatGPT
AWS Bedrock
LangChain- Whisper AI
- NLP
07Engagement
Choose the scope of the AI decision
A focused readiness assessment settles a defined investment question; a broader strategy coordinates decisions across business areas. Continuing AI leadership is a separate mandate.
The two-week readiness assessment
Most askedIn two weeks, we mark the systems and data sources in scope as keep, rebuild or remove, rank the AI use cases by return against risk, and produce a costed plan for the top one.
- Best when
- You need a decision on where AI pays off before you fund anything
- You pay
- Outcome based, quoted per project
- Typical start
- Two to four weeks
A full AI strategy and roadmap
Across teamsWe assess several business areas and sequence their use cases into one roadmap. Governance recommendations and any hiring or upskilling analysis are defined in the strategy scope.
- Best when
- You need investment priorities and a sequence across several teams
- You pay
- Billed hourly, quoted per project
- Typical start
- Two to four weeks
A fractional Chief AI Officer provides continuing AI strategy, governance and rollout leadership. The responsibilities and decision authority are agreed for that mandate.
- Best when
- You need AI owned continuously rather than a one-off document
- You pay
- Billed monthly, per team member
- Typical start
- Two to four weeks
Evaluate the existing roadmap against your systems
We assess an existing AI strategy against the current use cases, data and system prerequisites. The written recommendation identifies which priorities remain useful and what needs to change in the sequence. Implementation is commissioned separately. There is no minimum engagement period.
08Industries
Assess AI use cases in their industry context
We assess an AI use case in the workflow where its output will be used. Domain requirements shape the data, review and integration questions that the investment decision must answer.
Logistics and transportation
We compare forecasting, routing and exception-handling candidates against the available operational data. The assessment considers when updates arrive, who owns them and where the recommendation would enter the workflow.
Hospitality and leisure
Booking, membership and venue systems define where demand forecasts would be used. We assess their data and integration requirements, including entertainment-platform workflows.
Fintech and accounting
We assess document processing and NLP for transaction descriptions, with review and access requirements defined around the workflow. Authentication and financial advisory bookkeeping frame different questions about which actions the software should support.
Healthcare
We assess clinical-document assistance and monitoring use cases with your domain owners, including permitted data access and human review. Our home health monitoring platform work included ongoing software development and maintenance described in the client's 2025 review.
EdTech and learning
We assess search relevance, tagging and embeddings, numeric representations used to match meaning. A German ed-tech search engagement delivered production features, with AI tagging and embeddings work supporting the move to vector search.
Energy and utilities
We assess demand-forecasting and predictive-maintenance candidates against telemetry quality and coverage. The recommendation identifies the sensor data and timing the use case requires, and who will act on its output.
Define the AI investment decision
Tell us which AI options you are considering and what a useful decision would let you do next. We discuss the business areas, available data and assessment scope.
What happens after you contact us
- We reply within one business dayWe respond to the decision you described and identify any context needed for scoping.
- A call about the decision you need madeWe discuss the business areas, stakeholders and evidence needed to choose between your candidate use cases.
- A written problem statement and a use-case shortlistFor the agreed discovery scope, we record the questions to answer and the candidates to assess against your data and systems.
- Then a scope, and a start dateFor the readiness assessment, scope and fee are agreed before kickoff. Most engagements start within two to four weeks.
09Delivery
How does an AI consulting engagement run?
For the AI funding decision, you provide business owners, data and technical contacts, and the operating figures that the projections depend on.
- DiscoveryWe define the business decision, candidate workflows and success criteria. Your process owners explain the work as it runs today, and the sponsor confirms the boundaries of the assessment.You getA written problem statement and a shortlist of candidate use cases.
- AI maturity assessmentWe assess the data, systems and capabilities in scope with your technical contact. For assessments and audits, an NDA precedes access; read-only, least-privilege access is agreed with that contact before work starts.You getA keep, rebuild, or remove map of the systems and data in scope, with the blockers named.
- Prioritisation and ROI validationWe compare expected value, feasibility and risk, then document a return projection for the leading opportunity. You provide the operating costs and expected value the projection rests on; we record the assumptions and uncertainties.You getA ranked use-case shortlist and a return-on-investment projection for the leading opportunity.
- Roadmap and integration approachWe sequence the prerequisites and use cases, record the build, buy or integrate recommendation, and identify any skills needed for execution. Your sponsor provides budget cycles, existing commitments and the teams that will implement the work.You getA sequenced roadmap with the integration approach and stack decision recorded, trade-offs included.
- Governance and handoffWe document governance responsibilities, evaluation criteria and human review requirements. Your legal, domain and implementation owners review the recommendation and take part in the handover, with subsequent execution commissioned separately.You getA governance framework covering data protection, access, human review and audit-trail requirements.
10Client voices
Client perspectives on our judgment and delivery
The work is ongoing, but the impact that Artelogic has had on our development team has been substantial. They can work on developing other projects while still seeking guidance from Artelogic. Artelogic always provides our team with solutions backed up with the right research and analysis.
Even though Artelogic didn’t have a background in this area, they learned quickly and repurposed technologies they’d used before in order to solve the business problem. I was very impressed with this ability, as most of the people we contacted before implied that they’d need to spend a lot of time of trying to understand our business logic.
The Artelogic team finished the project on time and within budget. Their work was of excellent quality, making the cost justified. I was impressed when I learned that despite having a small team, they could cater to our needs and provide a comprehensive solution. Artelogic has been delivering excellent value for our investment.
We scoped out the workflow for the platform. Using this foundation, Artelogic’s executing our requirements and developing the platform. Artelogic executed flawlessly according to our plan thus far. Their work ethic is impressive.
We’re one of unicrew’s smaller clients, but they’re always incredibly quick to respond. When we have issues, they treat them as if they’re extremely important. We feel like we have a partner, and that’s been incredible. That’s why we’ll keep them on for as long as we can.
11Case studies
AI engineering and product operation
unicrew has built software since 2012 under our former Artelogic brand, the name older client reviews use. Snaplore is our owned product; the search and data-entry projects are client engineering engagements.
See all case studies
Built by unicrewAI-powered knowledge managementSnaplore is unicrew's own product, built and operated in-house. It uses AI to transform how organizations document, structure, and share information, making meetings, training, and project discussions instantly accessible and actionable.Up to 60%Less time on documentation- AutomationDoubling data-entry throughput with a custom recognition toolunicrew automated a manual data-entry bottleneck with a C# and AWS recognition tool, doubling the data sets the team processed each month.2xData sets processed per month
12Questions
About our AI consulting services
AI consulting defines an investment decision before implementation is commissioned. The agreed scope determines what we assess, what your team contributes and what the recommendation contains.
We hand over a ranked written recommendation on which AI use cases are worth funding and what must happen before implementation. A focused AI readiness assessment can be the starting purchase.
The agreed scope defines the deliverables:
- Use-case priorities, sequence and supporting evidence.
- Data and system prerequisites, with the recommended implementation approach.
- Cost and return assumptions for the leading opportunity.
- Governance, evaluation and delivery responsibilities.
We quote AI consulting against the agreed assessment scope. The price depends on the business areas covered, access to data and systems, and the depth of analysis needed for the decision.
The fixed-scope AI readiness assessment is outcome based and quoted per project, with the fee agreed before kickoff. A broader AI strategy is billed hourly and quoted per project. Implementation has a separate scope and quote.
The named AI readiness assessment is a two-week offer. We scope the timeline for a broader AI strategy around its business areas, systems and required evidence.
Access arrangements, stakeholder input and the analysis needed to compare the candidates all affect that schedule. We agree the work and your team's contribution during scoping; the readiness timebox does not set the duration of a full strategy or subsequent build.
It can, where your systems expose the data and interfaces the use case requires. We assess API access, data quality, security requirements and any integration changes before recommending an approach.
Our financial advisory work included exploring NLP for reading transaction descriptions and acting on that information. The assessment can identify a route through existing interfaces or the modernization needed to support a selected use case.
Consulting selects and sequences the AI investment; building the AI implements the chosen workflow under a separate delivery scope. The recommendation is handed over before that implementation is commissioned.
A build defines its roles, access, evaluation, releases and support responsibilities. Continuing strategy and governance ownership belongs to a fractional Chief AI Officer mandate.
We rank candidates by expected business value, feasibility and risk, then sequence the prerequisites ahead of the work that depends on them.
- Value: the process costs, intended benefit and assumptions behind the return projection.
- Feasibility: available data, system interfaces and the build, buy or integrate options.
- Risk: access, human review and the domain requirements your owners identify in fintech, healthcare, logistics or energy.
We define governance and evaluation requirements with your domain, technical and legal owners. The recommendation identifies responsibilities and the evidence needed for an adoption decision.
- Data use and access: permitted sources, provider terms and handling responsibilities.
- Evaluation and review: criteria for assessing outputs and where human approval is required.
- Ownership: who accepts the output and takes responsibility for implementation and ongoing operation.
Your legal and compliance owners confirm the applicable obligations; implementation of the controls is separately scoped.
Consulting can lead into a build with unicrew. The build is separately scoped and quoted, and its team composition and knowledge handover are agreed for that work.
The roadmap carries the decision, assumptions and prerequisites into implementation. You can also use the agreed recommendation in-house or with another implementation partner.
Compare how each partner will rank the AI candidates, substantiate cost and return assumptions, and explain the data and system prerequisites.
- Ask for a relevant deliverable example or scope definition, within confidentiality limits.
- Check references against the work you need, distinguishing strategy mandates from engineering and product operation.
- Confirm sponsor approvals, data ownership, handover and the boundary between advice and implementation.
unicrew holds ISO 27001:2022 and ISO 9001:2015 certifications, renewed through a multi-stage audit with Quay Audit UK.
unicrew fits when you need a ranked AI investment decision grounded in existing workflows, data and systems, with the option of separately commissioning engineering delivery. Our experience operating owned AI products informs the assessment.
A capable internal owner can lead the decision with agreed criteria, business input and technical evidence. A platform-specific assessment can also be useful when the question is about that platform. Our consulting scope brings a portfolio of candidates and their prerequisites into one written recommendation.