AI Implementation
Turn AI ideas and prototypes into working business systems.
We work alongside your team to identify a useful application, resolve implementation gaps and deliver a workflow people can use, understand and operate.
Built for everyday use
- Connected
- Fits the information, tools and processes your team uses.
- Evaluated
- Checked against real tasks and agreed acceptance criteria.
- Operable
- Clear access, monitoring and ownership after handover.
A practical starting point
Already have a prototype that has stalled?
Scaletific takes a stalled AI workflow from prototype to operational use, with integrations, evaluation, access controls, monitoring and team handover.
We begin by understanding what is preventing progress and whether the approach fits the business need. Then we scope one workflow, with clear acceptance criteria and the groundwork it needs.
What we help with
Start with the work that needs to improve.
The starting point might be an idea, a working prototype or a process that takes too much effort. Together, we establish where AI can play a useful role and what the surrounding system needs to do.
Knowledge retrieval
Help people find and use information across your documents and systems, with supporting sources and appropriate access to the knowledge behind an answer.
Onboarding assistance
Guide people through information, questions and next steps, connecting the assistant to the process and keeping a clear route to a person when needed.
Operational workflows
Connect information, draft updates and support repeatable tasks across business tools, with review and approval wherever the work requires it.
AI-assisted engineering
Connect AI-assisted changes to your engineering workflow, with defined permissions, review, checks and a record of the decisions made.
Supporting Scale
AI Systems & Infrastructure
As AI becomes part of everyday work, the systems behind it need clear ownership, suitable infrastructure and a practical way to check that they perform the intended task.
These disciplines primarily support Scale. AI can also help you Launch a product or Transform a process; we shape the foundations around your stage, existing systems and operational needs.
AI Infrastructure & Platform Engineering
Give your team a dependable place to build, release and operate AI capabilities.
Shape environments, deployment paths, access, secrets and monitoring around the workload and the team responsible for it. Build on your existing platform and introduce additional infrastructure where the operating requirements justify it.
Explore GoldenPath’s platform approachAI Inference & Model Serving
Emerging capability
Understand how model access can fit the response time, cost and data requirements of your application.
This is an emerging capability at Scaletific. We begin with scoped evaluation of model access, deployment options and operating requirements, then establish a recommendation and acceptance criteria before proposing implementation.
Agentic Systems & Workflow Automation
Move a useful task across systems while keeping responsibility and review clear.
Connect tools, business information and approval steps in a bounded workflow. Where an agent is justified, define its role, available actions, permissions and escalation path alongside evaluation of the work it performs.
AI Governance & Assurance
Give the people responsible for a workflow a clearer basis for deciding when it is ready to use.
Agree acceptance criteria, evaluation cases, access boundaries and human review. Make ownership, operating checks and the evidence needed to inspect decisions part of delivery and handover.
Implementation choices follow the need. Kubernetes, Amazon Bedrock, vLLM or LangGraph may be considered where they fit the workload, existing environment and agreed scope, with suitability established during evaluation.
How delivery works
A clear path, one workflow at a time.
Each stage has an agreed scope and a tangible output. Start with the diagnostic, then decide the next step with a clearer view of the work involved.
Understand the work
Diagnostic
Establish the business outcome, assess the idea or prototype and identify the technical gaps. Agree the delivery scope and acceptance criteria before committing to implementation.
What you leave with
A scoped recommendation and delivery plan you can use independently, including any groundwork needed before a build.
Deliver one bounded workflow
Implementation
Build the agreed workflow with the integrations, evaluation and operational controls it needs. Review it with your team against the acceptance criteria.
What you leave with
The implemented workflow, acceptance checks, documentation and team handover, with ownership made clear.
Keep it useful
Ongoing operation
Optional · separately scopedAgree monitoring, maintenance and defined improvements as a separate scope, shaped around how the workflow is used and who operates it.
What you leave with
An agreed operating arrangement covering responsibilities, monitoring, maintenance and the improvements included.
From our own work
Working examples. Visible decisions.
Our internal tools demonstrate how we connect information, review and workflow. These are Scaletific examples, with their context described alongside each capture.
Scalet · internal example
Keep an answer connected to its sources.
An internal workspace that answers questions using company knowledge, with retrieval steps and run context visible for review.
Explore the knowledge foundations
PrecisionReach · internal tool
Put review inside the workflow.
PrecisionReach connects a campaign brief and company knowledge to draft outreach messages, with review and approval before sending. It demonstrates how human judgement can remain part of an AI-assisted process.
Implementation write-up
Onboarding with reviewed knowledge
An onboarding and question-answering workflow built around reviewed service knowledge. Our write-up explains the capture, review and publication steps, and the evaluation still needed.
Read the knowledge workflow exampleInternal workspace
Inspect operational work in context
GovPort brings agent missions, reports and linked governance evidence into one inspection workspace. Explore the interface and the operational workflow it supports.
Explore GovPortWhere the specialist work fits
The foundations your workflow needs.
We choose the approach around the problem. These specialist areas support a project where they are relevant; the scope determines which are needed.
Knowledge foundations
When the challenge is the information behind your AI, explore our knowledge systems work and the separately scoped, paid Knowledge Audit.
Explore knowledge systemsAgent design
Where a workflow needs decisions at run time, assess whether an agent is justified and which permissions and controls it would need.
Explore governed agentsEngineering controls
For AI-assisted software changes, explore AEP’s approach to execution controls, policy checks and reviewable evidence.
Explore AEPLet’s make it useful
What would you like your AI workflow to do?
Tell us about the work, what you have already tried and where you need help. We’ll work with you to understand the next practical step.