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SoftRious

AI solutions

AI that does real work inside your business.

Softrious designs and builds custom AI agents, business chatbots, AI-powered product features, and workflow automation. Every engagement starts from a specific process or outcome, connects AI to your own data and systems, and ships with the guardrails, evaluation, and monitoring needed to trust it in production.

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What’s included

What’s included in AI Solutions?

Custom AI agents, business chatbots, AI engineering, and workflow automation—designed around real processes and built to run reliably in production.

Custom AI agents
Agents that take multi-step actions across your tools—researching, drafting, updating records, and handing off to people when a decision needs a human.
Business chatbots
Customer-facing and internal assistants grounded in your own documentation and data, with clear escalation paths and answers you can audit.
AI engineering
AI features built into your product: retrieval over your content, structured extraction, classification, summarisation, and the evaluation needed to measure quality.
Workflow automation
Repetitive manual steps replaced with automated flows that connect your systems, with AI used where judgement on unstructured input is needed.

Who it’s for

Who is this service for?

Softrious works with startups and growing businesses. This service is a good fit for:

  • Teams with a repetitive, document- or message-heavy process to automate
  • Businesses that want a chatbot grounded in their own knowledge, not generic answers
  • Product teams adding AI features to an existing web or mobile product

Where we focus

Start from the process
We map the workflow and the outcome first, then decide where AI genuinely helps—and where plain automation is the better tool.
Grounded in your data
Agents and chatbots work from your systems and content, with permissions respected and sources visible.
Production-ready
Guardrails, evaluation, logging, and human hand-off are part of the build, so results stay measurable after launch.

Process

How the work is delivered.

Every engagement moves through discovery, design, and engineering with clear milestones and visible progress.

Discovery

Step 01: Align goals, define the product scope, and create a shared roadmap before engineering begins.

Design

Step 02: Create a polished interface system, validate flows, and define the experience before code.

Engineering

Step 03: Build with clear milestones, visible progress, and maintainable code from day one.

AI-accelerated delivery

Shorter timelines, engineers still in charge.

AI now writes, reviews, and tests much of the routine code, so custom software ships sooner and maintenance costs less. Our engineers stay in charge of every decision, review, and release.

Get a timeline for your project

Typical project timelines

Weeks from kick-off to launch

  • Traditional
  • AI-assisted

  • Marketing website

    Design, build, CMS, and launch

    Marketing website · Traditional: 8 weeks8 wksMarketing website · AI-assisted: 3 weeks3 wks
    −63%

  • Cross-platform MVP app

    React Native or Flutter, iOS + Android

    Cross-platform MVP app · Traditional: 16 weeks16 wksCross-platform MVP app · AI-assisted: 6 weeks6 wks
    −63%

  • Custom web platform

    Accounts, dashboards, integrations

    Custom web platform · Traditional: 24 weeks24 wksCustom web platform · AI-assisted: 9 weeks9 wks
    −63%

  • Native iOS + Android apps

    Swift and Kotlin, two codebases

    Native iOS + Android apps · Traditional: 28 weeks28 wksNative iOS + Android apps · AI-assisted: 11 weeks11 wks
    −61%
View as table
ProjectTraditionalAI-assistedTime saved
Marketing website8 wks3 wks63%
Cross-platform MVP app16 wks6 wks63%
Custom web platform24 wks9 wks63%
Native iOS + Android apps28 wks11 wks61%

Where the time goes

Cross-platform MVP app · 16 weeks → 6 weeks

  • Traditional
  • AI-assisted
Traditional
DDiscovery: 2 wksDDesign: 3 wksBuildBuild: 8 wksTTesting: 2 wksLLaunch: 1 wks
AI-assisted
DDiscovery: 0.75 wksDDesign: 1 wksBBuild: 3 wksTTesting: 0.75 wksLLaunch: 0.5 wks10 weeks saved
  • DiscoveryAI summarises research and drafts specs
  • DesignStitch turns flows into first UI drafts
  • BuildCursor, Claude Code, and Antigravity
  • TestingAI-written tests run on every change
  • LaunchAutomated release checklists
View as table
PhaseTraditionalAI-assistedHow AI helps
Discovery2 wks0.75 wksAI summarises research and drafts specs
Design3 wks1 wksStitch turns flows into first UI drafts
Build8 wks3 wksCursor, Claude Code, and Antigravity
Testing2 wks0.75 wksAI-written tests run on every change
Launch1 wks0.5 wksAutomated release checklists

The AI tools in our workflow

We pick the right tool for each stage—and every AI-generated change is read, tested, and approved by an engineer before it ships.

  • Build

    Cursor

    AI code editor

    Our day-to-day editor: codebase-aware completions, multi-file edits, and fast refactors across web and mobile projects.

  • Build & test

    Claude Code

    Agentic coding by Anthropic

    Plans and carries out larger changes from the terminal—features, migrations, upgrades, and the tests that cover them.

  • Build & verify

    Google Antigravity

    Agent-first development platform

    Runs coding agents across the editor, terminal, and browser to build features and check them in a real browser.

  • Design

    Google Stitch

    AI UI design

    Generates first UI drafts from flows and prompts, which our designers refine in Figma into a polished design system.

Automated testing with AI

Testing used to be the slowest, most skipped step. Now AI writes and maintains the tests alongside the code, so every change is checked automatically—before a release and long after launch.

  1. Write code
  2. AI drafts tests
  3. CI runs suites
  4. Visual checks
  5. Engineer approves
  6. Release

Every PR

Full suite runs

Web + mobile

End-to-end flows

100%

Releases reviewed

  • Tests written with the code

    AI agents draft unit and integration tests for every feature, and engineers review them like any other code.

  • End-to-end user journeys

    Sign-up, checkout, and booking flows run automatically on web (Playwright) and mobile (Maestro).

  • Visual regression checks

    Screens are compared on each change, so layout and style breaks are caught before users see them.

  • Runs on every change

    The full suite runs in CI on every pull request and before every app-store or web release.

  • Self-updating test suites

    When the UI changes on purpose, AI updates affected tests and flags them for review—no stale suites.

  • Human sign-off

    AI speeds testing up; an engineer still owns the result and approves every release.

Support & maintenance · FDEs

More done every month—for a low, fixed price.

AI multiplies what one Forward Deployed Engineer can do. You get senior, embedded support for your website and apps at a fraction of a full-time hire.

  • A dedicated Forward Deployed Engineer who knows your product
  • AI-assisted triage, fixes, and upgrades—so more gets done each month
  • Automated tests on every release to prevent regressions
  • Low, fixed monthly plans; scale up or down any month
Get a support planHire an FDE →

Support & maintenance, sped up

The same work your FDE does each month, with and without AI

  • Traditional
  • AI-assisted

  • Typical bug-fix turnaround

    6×faster

    Traditional: 48 hours48 hAI-assisted: 8 hours8 h

    AI traces the cause; your FDE fixes and ships it

  • Regression testing per release

    32×faster

    Traditional: 16 hours16 hAI-assisted: 0.5 hours0.5 h

    Automated suites replace manual click-through

  • OS & framework upgrade

    5×faster

    Traditional: 5 days5 dAI-assisted: 1 days1 d

    Agents handle the bulk of the migration

View as table
TaskTraditionalAI-assisted
Typical bug-fix turnaround48 hours8 hours
Regression testing per release16 hours0.5 hours
OS & framework upgrade5 days1 days

Indicative ranges from our planning model, not client results. Every project’s timeline is confirmed in discovery.

Explore support & maintenance

FAQs

AI Solutions: common questions

A chatbot answers questions in a conversation. An AI agent can also take actions—looking things up across systems, updating records, or triggering a workflow—within limits you define. Many projects combine both: a conversational front end backed by agent actions.

Yes. Chatbots and agents are connected to the sources you choose—documentation, knowledge bases, databases, or business tools—so answers and actions are based on your information rather than general knowledge.

Each build includes evaluation against real examples, guardrails on what the system may do, logging so behaviour can be reviewed, and a hand-off to a person for decisions that should not be automated.

Other services:

Website & Mobile DevelopmentSupport & MaintenanceCustom SoftwareHire Engineers

Let’s talk

Ready to discuss your project?

Tell us about your goals, timeline, and product ambitions. We’ll help you shape the right next step.

Book an intro callSend a project brief
Prefer to extend your team? Compare hiring models

What happens next

  1. 1Tell us what you needA few sentences about the product, the problem, or the team you want.
  2. 2A short intro callWe talk through the work, the timeline, and who should be involved.
  3. 3A clear plan and proposalScope, team, and cost in writing—so you can decide with confidence.