AI Development & Consulting
AI Development and Consulting Services, from Strategy to Production
Whether you need a plan, a chatbot, an agent, AI inside your existing software or a model trained on your data, these services take it from idea to a working system.
- Model-agnostic: OpenAI, Claude, Gemini or open-source
- Proof of concept before the full build
- You own the code, prompts and models
Thanks — we’ve got it.
A Softlance specialist will call you within 2 business hours. Want to talk sooner?
- 48h Proposal turnaround
- 100% Code & IP ownership
- Fixed Price packages
- 2-week Sprint cycles with demos
AI Development & Consulting
AI development services and consulting
Five services, ordered from advice to fully custom builds; most projects use two or three of them.
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AI Chatbot Development
Custom AI chatbots for website, WhatsApp and Instagram, trained on your data.
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AI Agent Development
AI agents that research, decide and act across your tools, with human approval where it matters.
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AI Integration Services
Add GPT, Claude or Gemini to your app, CRM or ERP via secure APIs and RAG.
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Custom AI Solutions
Bespoke models, document intelligence, forecasting and vision systems you fully own.
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AI Consulting
AI use cases ranked by ROI, plus a 90-day roadmap for your business.
Choosing a service
Which AI development and consulting service fits your stage
Our AI development and consulting services cover the full path from deciding what to build to running it in production, and which one you need depends mostly on how clear the problem already is. If you are not sure where AI fits, AI Consulting maps your processes and returns a prioritised roadmap. If the problem is clear and the software already exists, AI Integration Services add a model to it through a controlled API layer. If customers need answers on your website or WhatsApp, AI Chatbot Development is the direct route.
When a task involves several steps across systems, such as reading a request, checking records and drafting a response, AI Agent Development builds a system that plans and acts within limits you set. When no existing tool or model handles your data well enough, Custom AI Solutions train or configure a model specifically for it, starting with a proof of concept that tests whether the required accuracy is reachable.
All five share the same practices: evaluation sets built from your real examples, logging and cost tracking from day one, data kept within approved systems, and handover of everything we build.
How it works
From first call to live automation in four steps
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Step 1 · Free
Audit
We map your workflows, data and tools, and find where AI saves the most time.
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Step 2 · 48 hours
Blueprint
You get a fixed scope, timeline and price — no surprises later.
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Step 3 · 2-week sprints
Build
We build, test and demo every two weeks, with your feedback built in.
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Step 4 · Ongoing
Optimise
We monitor results monthly and keep improving accuracy and ROI.
See what you could automate — in one 30-minute call.
No pitch deck. You leave with three concrete automation ideas, free.
Works with the tools you already use
We build on your stack first and add tools only where they pay off.
- HubSpot
- Zoho
- Salesforce
- WhatsApp Business API
- OpenAI
- Anthropic Claude
- Google Gemini
- Shopify
- WooCommerce
- n8n
- Make
- Zapier
- Slack
- Google Sheets
Frequently asked questions
What is the difference between a chatbot and an AI agent?
A chatbot answers questions and collects details in a conversation. An agent completes tasks: it can look up records, update systems and send messages on your behalf, within the permissions and approval steps you define.
Can we start with consulting and move to development later?
Yes. The consulting roadmap is written so that any team can build from it; if you build with us, the blueprint stage is shorter because the groundwork is already done.
Do you build AI for internal teams as well as customers?
Yes. Internal helpdesk bots, document extraction for back-office staff and research agents for sales are as common as customer-facing projects.
What happens if the AI gets something wrong after launch?
Every system logs inputs and outputs, and low-confidence cases go to a person. Recurring errors are added to the test set and fixed in the next release, so the same mistake is caught before future updates go live.
Can the AI run on our own servers?
Yes. Open-source models can be hosted in your AWS, Azure or GCP account or on-premise, and commercial models can be used under enterprise terms that exclude your data from training.
Describe the problem you want AI to solve, and an engineer will tell you which route fits — free.
Tell us about your business. You’ll get a fixed-price proposal within 48 hours.
- We call within 2 business hours to understand your goals.
- Free 30-minute audit of your current workflows.
- Fixed scope, timeline and price — in writing, in 48 hours.
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