AI & Automation
AI agents and workflow automation that remove manual work across your tools.
Consulting
Clear technical decisions before you build
We help founders and operations leaders decide what to build, how to architect it and where AI and automation will actually pay off.
The problem
Expensive decisions, made without clarity
The costliest mistakes in software happen before a line of code is written: the wrong scope, the wrong architecture or the wrong vendor.
Unclear AI strategy
Pressure to “use AI” without a clear view of where it creates value, or risk.
Architecture risk
Early technical choices limit scale, security and speed later on.
Vendor uncertainty
Proposals, estimates and platforms are hard to judge without independent expertise.
Stalled roadmaps
Too many ideas, no clear order, and teams busy on work that does not move the business.
Our approach
Advice you can build on
Our consultants are working engineers. Every engagement ends with concrete deliverables, such as decisions, diagrams, roadmaps and estimates, that you can act on with us or anyone else.
- Short, fixed-scope engagements
- Written recommendations, not slideware
- Architecture diagrams and decision records
- Prioritised roadmaps with effort estimates
- Optional support to execute the plan
Capabilities
What our Consulting work covers
Pick one capability or combine several. Each is scoped, estimated and delivered with the same engineering standards.
Product strategy
Define the problem, users, scope and success metrics for a new product or feature.
Software architecture
Architecture design and reviews covering scalability, security, cost and maintainability.
AI adoption
Identify high-value AI use cases, assess data readiness and plan a safe rollout.
Automation strategy
Map processes, rank automation opportunities and choose the right platforms.
Technical consulting
On-demand senior guidance for your team on specific technical decisions.
Technical due diligence
Independent review of a codebase, team and roadmap before investment or acquisition.
How we work
How we deliver Consulting
Understand
Interviews and workshops to understand goals, constraints and current systems.
Assess
A review of processes, code, architecture and data, as relevant to the question.
Recommend
Clear written recommendations with trade-offs, risks and alternatives.
Plan
A prioritised roadmap with estimates, ready for your team or ours to execute.
Technology
Technology we use
Chosen for reliability, maintainability and fit with your existing stack.
Architecture
AI
Automation
Cloud
Use cases
Where teams put this to work
Common starting points. Your process will have its own details, which is why every engagement starts with discovery.
- 01
AI readiness assessment
Find where AI can help, what data it needs and what could go wrong.
- 02
Architecture review
Stress-test your system design before scaling users, data or team.
- 03
Build vs buy decision
Compare custom development with SaaS options on cost, risk and fit.
- 04
Automation roadmap
A ranked backlog of automations with expected effort and impact.
- 05
MVP scoping
Cut a product idea down to the smallest version worth building.
- 06
Proposal review
An independent view on vendor proposals, estimates and technical plans.
Industries
Built for operational teams across industries
The patterns carry across sectors. What changes is the data, the systems and the rules, and we learn those first.
SaaS & technology
Product engineering, integrations and AI features for software companies.
Professional services
Automated intake, document workflows and client reporting for agencies, consultancies and firms.
Finance operations
Invoice processing, reconciliation support and reporting automation.
Healthcare operations
Scheduling, intake and back-office workflows, designed with privacy requirements in mind.
Logistics & operations
Tracking, dispatch and exception handling across carriers and internal systems.
Real estate
Lead handling, listings and transaction workflows for brokerages and property teams.
Case studies
Proof, published with evidence
Every case study we publish is approved by the client and limited to results we can verify.
Verified case studies only
We publish a case study only when the client has approved it and every result is verified. Until then, we are glad to walk you through our approach, architecture and delivery process for problems like yours.
case-study.format
- 01Challenge
- 02Approach
- 03Architecture
- 04Implementation
- 05Verified outcome
FAQ
Consulting questions
Straight answers to the questions that come up in first calls.
What does a consulting engagement include?
Each engagement has a fixed scope and ends with written deliverables, such as an architecture document, an AI opportunity assessment or a prioritised roadmap with estimates.
Do we have to build with Metivant afterwards?
No. Recommendations are yours to use with any team. If you want help executing the plan, we can support that too.
How do you approach AI adoption?
We identify where AI can reduce cost or improve speed, check data quality and risks, then pilot the highest-value use case with measurable success criteria before scaling it.
Related services
Often combined with
Most engagements touch more than one discipline. The same team can take you from strategy to production.
Software & SaaS
Custom software, SaaS products and internal platforms engineered to scale.
Dedicated Teams
Vetted engineers who join your team, your tools and your delivery cadence.
Start a project
Tell us what is slowing your team down
Share the workflow, product or team challenge. We will come back with a clear recommendation and next steps.
Intro call · Fixed-scope proposal · No obligation