Lushsoft helps software companies and operations teams turn AI prototypes into everyday tools — connected to your systems, tested against real tasks, and ready for your team to run.
View full-resolution image ↗Miyaha MVP interface, sample data — the Inbox approval screen from the running prototype (Northwind Ops demo workspace, Hera persona).
Who this is for
One concrete workflow, taken seriously
Your prototype can produce a useful answer. The next challenge is making it work with your data, your systems, and the people responsible for the outcome. Start with one workflow: an internal tool, a follow-up process, or an approval queue.
See the engineering decisions behind the interface: our Miyaha approval-boundary note explains what to test before an agent can act. The showroom brings together project screenshots and current development stages.
Each is scoped to one concrete workflow, with deliverables and any costs agreed in writing before work starts.
01
AI workflow deployment review
A scoped, time-boxed review of an existing AI prototype or workflow: a written assessment, a concrete integration and evaluation plan, and identified approval boundaries and monitoring gaps.
Fit: teams with a working demo who need a credible path toward something reliable.
02
Embedded implementation
Lushsoft works alongside your team as a Forward Deployed AI Engineer: integration, an evaluation harness, implemented approval boundaries, monitoring, and a documented handover.
Fit: teams ready to build, who want an engineer embedded rather than a report.
03
AI architecture advisory
Architectural guidance for teams whose own engineers do the building: an architecture review, evaluation and approval-boundary recommendations, and documentation standards.
Fit: teams who want the plan checked before committing engineering time.
These are the services included in an AI delivery engagement, scoped to your workflow and agreed with you before work starts.
01
Integration
Wiring a model into your real systems — your data, your auth, your existing UI — instead of leaving it as a standalone demo that only works with sample data.
02
Evaluations
Structured test sets and human review so a change can be judged against a defined standard before it reaches users, not just eyeballed on a good day.
03
Approval boundaries
Deciding what the system may do on its own and what needs a human decision first, then making that boundary something you and your team can inspect.
04
Monitoring & handover
Instrumentation for what actually happened in production, plus documentation so your own team can run and change the system after the engagement ends.
Also on offer
Landing pages, simple apps, and SEO
Not every project needs AI. If you need a clearer website, a useful customer tool, or stronger search foundations, start here.
Landing pages
Positioning, page structure, copy, design, and development for a fast, accessible page with one clear route to enquiry.
Simple web apps
Small, practical tools such as quote forms, booking helpers, calculators, or dashboards that make one job easier for customers or your team.
SEO foundations
Technical and on-page SEO: titles, headings, internal links, speed, accessibility, structured data where it helps, and a clean indexable structure.
Every engagement stays scoped to one workflow: what it must do on its own, what needs a human, and how you will know it is working.
1
Understand
We clarify the current prototype or process, your systems, who approves what today, and what “production-ready” would mean for your team.
2
Shape
We define the integration, evaluation, and approval-boundary scope before committing effort to full implementation.
3
Build & hand over
We implement, test against the agreed evaluations, put monitoring in place, and hand over documentation your team can run without us.
Ongoing care
Keep a deployed workflow dependable
Once a workflow is running, drift and edge cases still happen. Choose the rhythm that fits your plans. The exact scope is agreed before any work starts.
Monthly care
Flexible month to month
For evaluation upkeep, monitoring review, and practical fixes as the workflow keeps running, with a rhythm that can adapt as priorities change.
Annual care
Plan the year ahead
For teams that prefer an agreed annual window for architecture review, evaluation updates, and improvement work.
Transparent from the start: every proposal is tailored to the agreed scope and is non-binding until both sides confirm the engagement. Pricing and terms are set out clearly in that proposal.
Start a conversation
Tell us about the workflow you need to trust
Share what the AI prototype or workflow currently does, who is meant to approve what, and what “production-ready” would mean for your team. Lushsoft will reply by email to discuss whether a deployment review, embedded implementation, or architecture advisory is the right next step. Landing page, simple app, and SEO enquiries are welcome too.