Readiness and use cases
Ranked use cases scored on value, feasibility and risk, plus a clear view of data, systems and skills.
AI implementation services
AI implementation, from pilot to P&L.
We take AI from a promising idea to a system your people use every day: the right use case, the data underneath, the build, the integration into your tools, the rollout and the running costs. One senior team, accountable for the outcome.
The problem
Why most AI implementations stall.
Most AI programmes stop somewhere between pilot and P&L. It is rarely the model. It is everything around it.
01
Data that is not ready
The data the use case needs is scattered, incomplete or locked in systems nobody planned to connect.
02
Pilots that never leave the lab
A demo works on clean examples, then fails on real documents, real permissions and real volumes.
03
Workflows left unchanged
AI is bolted onto an old process, so people work around it and the expected savings never show up.
04
Nobody owns the outcome
IT owns the platform, the business owns the target and the vendor owns the code. The result belongs to no one.
The implementation path
Six stages, one accountable team.
Every stage ends with something you can use or decide on. You can start at whichever stage fits where you are.
Value case and design
One business metric, a target architecture, an evaluation plan and the guardrails, agreed before the build.
Data foundations
Pipelines, quality checks and access controls for the data the use case depends on, and nothing more.
Build and integrate
The model, agent or copilot, wired into your ERP, CRM, ticketing or product, shipped in weekly demos.
Launch and adoption
A staged rollout, training for the people who use it, and the process changes that make the savings real.
Run and improve
Monitoring for quality, drift and cost, new use cases on the same foundations, and a monthly review.
What we implement
AI that does real work in your business.
Copilots and knowledge assistants
Answers grounded in your policies, contracts and wikis, with citations and your existing permissions.
Agents and workflow automation
Agents that read, classify and act on emails, tickets and records, with people approving the risky steps.
Document AI
Invoices, claims, KYC files and forms read, checked and routed, with only the exceptions reaching a person.
Forecasting and decision models
Demand, pricing, churn and risk models that change real decisions, with dashboards people open.
AI inside your product
AI features in your SaaS, app or website, designed for latency, cost per request and graceful failure.
AI integration with core systems
AI connected to ERP, CRM, core banking, HRMS and data platforms through secure APIs and events.
Ways to start
Start small, with a clear next step.
Readiness sprint
Fixed fee · about 2 weeks
Find the use cases worth doing, check the data, size the value and leave with a plan your board and engineers agree on.
- Ranked use-case backlog
- Data and systems review
- Roadmap and business case
Production pilot
Fixed fee · about 8 weeks
One use case built, integrated and used by real people with real data, measured against the metric agreed upfront.
- Working system in production
- Evaluations and guardrails
- Adoption and value tracked
Scale and run
Monthly retainer
Roll out to more teams and use cases on the same foundations, with monitoring, cost control and a monthly review.
- Rollout waves
- Monitoring and cost control
- New use cases as you grow
AI implementation services
Every part of implementation, covered.
AI Readiness Assessment
Use cases ranked, data and systems reviewed, and a costed roadmap in about two weeks.
AI Pilot to Production
One use case taken from proof of concept to a live system people use, in about eight weeks.
AI Integration Services
AI connected to your ERP, CRM, core systems and product, with permissions and audit built in.
AI Adoption and Training
Process redesign, role-based training and an AI usage policy, so people actually use what you build.
Managed AI Operations
AI in production kept accurate, safe and affordable, fully managed or co-managed.
AI Governance
Responsible AI aligned with the DPDP Act and EU AI Act, built in from day one.
Further reading
What we have learned implementing AI.
FAQ
Questions about AI implementation.
What does AI implementation include?
Everything between an idea and a system people use every day: choosing the use case, preparing the data, building and evaluating the model or agent, integrating it with your systems, rolling it out with training, and running it with monitoring and cost control.
How long does it take to implement AI?
A readiness sprint takes about two weeks. A first use case usually reaches a production pilot in about eight weeks from kickoff, with real users and real data. Rolling out to more teams and use cases then continues in waves. The exact timeline depends mostly on data access and integrations.
How much does AI implementation cost?
Readiness sprints and production pilots are fixed-fee, so you know the price before we start, and scaling and running are monthly retainers. The cost depends on scope, data readiness, integrations and how many teams will use the system. After the discovery call we give you a written fixed price for the first phase.
Do we need perfect data before we start?
No. During readiness we check the data the first use case needs and fix only what it depends on. Data quality then improves one use case at a time, instead of waiting for a large clean-up programme.
Will this work with our existing systems and vendors?
Yes. We are platform agnostic and integrate with the cloud, data platforms, ERP, CRM and tools you already use. There is no lock-in: once invoices are settled, you own the code, models and IP.
Who will work on our implementation?
A squad of two to four senior people, led by an engineer from companies like Amazon, Google or Microsoft (not affiliated with or endorsed by them). A founder scopes the work, reviews it every week and signs off before anything reaches production.
Have an AI idea that needs to ship?
Tell us the use case. A founder will reply within one business day with a view on how to take it to production.