™Where should investment begin?
Businesses face competing tools and opportunities, often without a clear view of feasibility or return. Consultancy helps identify valuable use cases, assess constraints and establish a practical implementation plan.
AI governance & automation
Independent practice · LondonClear governance.
Purposeful
automation.
Put AI to work with clear oversight. We help businesses establish practical governance and build automation around the way they operate.
From policy to practice
01
DefineClear accountability
02
DesignPractical controls
03
DeliverReliable workflows
Human oversight throughout
01 / Why governance matters
AI adoption creates questions every business must answer.
AI can accelerate research, reporting and routine operations. Realising that value requires decisions about where it belongs, which information it can access and who remains accountable for its outputs.
Can the output be trusted?
AI can produce convincing statements, figures and references that are incorrect or invented. This behaviour is known as hallucination. When these outputs enter reports or inform decisions without adequate checks, they can create financial, operational and reputational risks.
Approved sources. Tested outputs. Defined human review.
How hallucination risks are addressed
Controls are tailored to the scope and risks of each engagement. The approach may include:
- Grounding in approved information. Use approved documents and data, with references that can be inspected.
- Representative testing. Check factual accuracy, unsupported claims and omissions across relevant scenarios.
- Independent checks. Use deterministic calculation checks and verify critical figures and references against source records.
- Defined human review. Review consequential outputs and escalate when the available evidence is insufficient.
- Ongoing evaluation. Record failures and repeat relevant checks when models, data or workflows change.
These measures reduce the likelihood and impact of errors; they do not eliminate hallucinations or guarantee accuracy.
Is confidential information being handled appropriately?
Without clear guidance, employees can share sensitive information through unsuitable tools. Approved systems, access controls and staff training help establish consistent working practices.
Agree what information is needed, who may access it and which tools are appropriate before sharing it.
Who is accountable as adoption grows?
Isolated experiments become difficult to oversee when responsibilities are unclear. Documented ownership, approval processes and review records help organisations manage change and demonstrate oversight.
Aran Bansal Ltd connects these decisions with practical delivery, helping businesses establish appropriate controls and implement useful systems.
Explore our expertise02 / Our expertise
Oversight and delivery.
Considered together.
Good governance should support useful AI. Good automation should have clear boundaries. We connect the two.
01
AI governance
Set clear expectations for how AI is selected, used and reviewed across your business.
- AI use and risk assessment
- Policies and responsibilities
- Human review and oversight
- Audit trails to support M&A due diligence
02
Process automation
Understand the workflow, address its constraints and automate where it makes a meaningful difference.
- Process mapping and scoping
- Workflows supported by AI
- System and data integration
03
Implementation & review
Put systems into operation with the controls, documentation and understanding needed to use them well.
- Testing and validation
- Documentation and team handover
- Monitoring and review processes
03 / Selected work
Practical systems.
Real business challenges.
Client confidentiality comes first. These summaries omit identifying details and generalise descriptions to preserve the privacy of each engagement.
01 Process automation
A connected
content workflow.
Content processing
- The challenge
- A recurring content process involved several stages of preparation and checking.
- The work
- Developed an automated workflow to process source material, prepare content and carry out checks before release.
- The outcome
- Brought preparation, checking and delivery together in one workflow.
02 Operational automation
Routine work automated.
Exceptions brought forward.
Exception handling
- The challenge
- A recurring operational process required substantial manual attention.
- The work
- Automated routine processing and introduced escalation for items requiring human attention.
- The outcome
- Reduced manual workload and associated time and cost.
03 Commercial automation
Research and outreach.
One connected process.
Business development
- The challenge
- A business development workflow needed to connect research with relevant outreach.
- The work
- Developed a system that combined research, selection criteria set by the user and tailored communications.
- The outcome
- Brought research and outreach into a single automated workflow.
04 / Our approach
Start with the business.
Build with care.
A clear scope, an agreed set of responsibilities and a practical route from the first conversation to daily use.
- 01
Understand
Map the process, understand current AI use and agree what needs to improve.
- 02
Define
Set the scope, responsibilities and controls. Agree how the work will be evaluated.
- 03
Implement
Develop the policies or systems, test them against real scenarios and refine with your team.
- 04
Embed
Document the work, support handover and establish a clear process for ongoing review.
05 / The consultancy
About us
Aran Bansal Ltd is an independent consultancy specialising in AI, process automation and bespoke software. The firm works with founders and leadership teams to improve operational efficiency and develop systems around specific business requirements.
Engagements combine detailed process analysis, technical implementation and direct founder involvement. Responsible AI adoption informs this approach, with an emphasis on reliable outputs, appropriate oversight and the protection of confidential information.
06 / Founder
Aran Bansal
Aran Bansal is the founder of Aran Bansal Ltd. A First Class Aerospace Engineering graduate of the University of Birmingham, he brings experience in investment advisory and corporate finance to the design and delivery of business systems that use AI. His work includes property analysis, investment research and operational automation.
His leadership experience began in charitable fundraising and food bank operations, where he directed events, coordinated volunteers and introduced systems for stock control and ordering. He subsequently established an independent tutoring business alongside his degree, developing the emphasis on close client relationships that informs the consultancy today.
Aran is a Liveryman of the Worshipful Company of Founders and a Freeman of the City of London. The consultancy is supported by the University of Birmingham’s UoB Elevate programme.
His professional interests include AI governance and the development of UK policy that promotes reliable systems, protects sensitive information and maintains organisational accountability.
Connect with Aran on LinkedIn07 / Start a conversation
What would you
like to improve?
Whether you are setting direction for AI or looking to improve a specific workflow, tell us where you are starting.
aran@aranbansal.co.uk +44 7306 073155Based in London, UK