AI, DIGITAL & ENTERPRISE
AI services
Take AI from experiment to useful work. Identify a business task, assess whether AI is suitable and build a solution that can be evaluated in the workflow where it will be used. Descriptive can scope assistants, intelligent document processing, machine learning and AI-enabled automation.
Start with the decision you need to make.
Identify a business task, assess whether AI is suitable and build a solution that can be evaluated in the workflow where it will be used. Descriptive can scope assistants, intelligent document processing, machine learning and AI-enabled automation.
This service is for technology leaders, operational teams and organizations evaluating practical AI adoption.
Questions the assignment can address
- What decision or task will the system support?
- What data is available and permitted for this use?
- How will unacceptable outputs be detected and handled?
- What would justify moving from a pilot to deployment?
How we approach the work
Start with readiness, task boundaries and a baseline for comparison. Develop a bounded prototype with representative evaluation cases. Address retrieval, prompts, model selection, human review and integration as needed. Use a risk-based approach to governance, informed by published frameworks such as NIST AI RMF.
A convincing demonstration is not an acceptance test. Evaluate the solution on realistic inputs, ambiguous requests, missing information and misuse attempts. Record quality, cost and response-time trade-offs. For actions that change records or communicate externally, agree the required permissions and human approval boundaries.
What your team receives
The scope defines the exact output, format and review criteria for each deliverable. Depending on the assignment, these can include:
- AI opportunity and readiness assessment
- Use-case specification and data requirements
- Prototype or integrated AI workflow
- Evaluation report and documented limitations
- Governance, deployment and monitoring plan
From brief to delivery
Share the requirement, intended users, existing information, deadline and any procurement instructions. We clarify the decision the work must support and agree the methodology or technical approach before execution. The proposal sets out the scope, workplan, review points, responsibilities and commercial terms.
During delivery, questions and dependencies are made visible so your team can resolve the decisions that need client input. Quality checks are built into the assignment rather than saved for a final presentation. Handover explains how to use the outputs, the limitations that remain and any support included in the engagement.
Planning an international assignment
For work spanning countries or distributed teams, agree the geographic scope, working language, collaboration hours and access requirements at the outset. Research recruitment, local field access, hosting locations and data-transfer arrangements may affect the delivery plan. These are confirmed for the assignment; the availability of a service page does not imply a physical office in every market.
What to send with your enquiry
- The problem, intended decision and people who will use the output.
- Existing reports, instruments, datasets or system documentation that can be shared appropriately.
- Required deliverables, formats, deadline and review process.
- Location, languages, data-access constraints and procurement requirements.
- A budget range, if available, and whether support after handover is required.
Methodology reference
NIST: AI Risk Management Framework. This is an external guidance resource, not an affiliation or certification claim.
Can this be commissioned as a standalone assignment?
Yes. The scope can cover a specific output or connect to a wider programme. Share the material you already have and the work still required; the proposal will distinguish included tasks from dependencies and optional support.
How are the timeline and budget determined?
They depend on the scope, methods, access, volumes and delivery requirements. Provide your deadline and any budget parameters with the brief so the initial review can identify feasible options and material trade-offs.
Who owns the outputs and working files?
Ownership, licensing, permitted reuse, confidentiality and handover formats are agreed in the engagement terms. Identify any requirements for source code, scripts, raw data or editable files during scoping.
Let’s get to work
What does your organization
need to get done?
Tell us the challenge, send the TOR or describe the outcome you need. We’ll help define the right research, data, AI or digital capability to move it forward.