AI agents for business that hand the unusual cases to your team
We build agents that answer customers, qualify leads, match invoices and set up new hires. Each one works within guardrails you set. We start with an audit of one workflow, and the first agent goes live in 4 weeks.
24/7
Agents work nights, weekends and holidays
Under 2 min
first reply from our support agent
80%
of support queries auto-resolved
30 days
post-launch warranty







Six AI agents and the manual work they replace
Each tile shows the work before the agent and the result after.
Customer Support Agent
Before
8-hour median reply, one agent per 50 tickets.
After
Under 2 minutes to first reply, 80% auto-resolved.
Lead Qualification Agent
Before
A sales rep triages every form fill by hand.
After
Every lead scored, enriched and routed in real time.
Invoice & Finance Agent
Before
3 hrs a day reconciling invoices in spreadsheets.
After
Zero manual entry. Invoices are matched to purchase orders and posted.
HR Onboarding Agent
Before
A 14-step checklist run by HR for every hire.
After
Day-one ready in 2 hrs, fully self-serve.
Data Reporting Agent
Before
An analyst rebuilds the weekly dashboard by hand.
After
Self-updating reports and on-demand answers.
eCommerce Order Agent
Before
The order desk answers every refund email.
After
90% of refunds and returns handled by the agent.
Five reasons teams stop doing it by hand
What changes when an agent takes over the routine steps.
01
Senior time goes back to senior work.
Your best people stop triaging tickets and sorting form fills, and spend that time on work that needs their judgment.
02
Coverage on nights, weekends and holidays.
Agents work outside office hours, so a late enquiry or invoice is handled when it arrives.
03
Faster first replies.
On our support agent, first replies went from an 8-hour median to under 2 minutes.
04
The same steps every time.
An agent follows the process you set. Anything outside it goes to a person, so exceptions get looked at, not guessed at.
05
More volume, same team.
5Ć the volume costs about the same as 1Ć. Throughput grows without proportional hiring.
Four stages from workflow to working agent.
A predictable path, built for teams buying AI for the first time.
01
Workflow audit
We map how the process runs today, including every form, hand-off and decision, to find what is worth automating.
02
Agent design
We design the logic: triggers, tools, guardrails and escalation paths, based on your real data sources.
03
Build & test
We deploy into a sandbox, tune the prompts, and test the agent against your past workload.
04
Monitor & optimize
We watch it in production, measure the hours and cost removed, and keep improving it.
2 weeks
Workflow audit to signed scope
4 weeks
First agent live in production
Weekly
Working demos, never status decks
The tools we use, and why they stay yours
We pick tools per workload. Whatever we use, you own the code, prompts and workflows at the end.
Models
01
OpenAI GPT models
02
Claude (Anthropic)
03
Llama 4
04
Gemini
Orchestration
01
LangChain
02
LangGraph
03
CrewAI
04
Semantic Kernel
Automation
01
n8n
02
Zapier
03
Make.com
04
Temporal
Data & retrieval
01
Python / FastAPI
02
Postgres + pgvector
03
Pinecone
04
Weaviate
The stack shown is representative. We choose per workload, and we hand over every prompt, workflow and line of code at the end of the engagement.
Results from agents we've shipped
Time saved, cost removed and volume handled.

Two systems that stopped agreeing, now in sync.
A property manager's CRM and property platform, connected. 4 documents are checked automatically before an annual plan can be generated.
1,150+
property records reconciled

Complaints from WhatsApp to technician dispatch, in one platform.
A pan-India HVAC&R service network, run from one platform. Customers register a complaint through WhatsApp and it flows to dispatch.
60%
faster technician assignment, complaint to dispatch

Brand analysis, content and publishing in one AI workflow.
An AI marketing platform that replaced 9+ tools with one workflow.
10+ hrs
saved every week
Results from client projects.
Why work with
Soft ānā Web
Since 2010, we've built software for teams that need it working from day one.
Senior-led pods
Engineers with 5+ years build and review every agent. Nothing is passed down to juniors.
One team from build to run
The people who design an agent also deploy it, monitor it and improve it, so nothing is lost in a hand-off.
Fixed-fee outcome packages
You know the cost before we start. We price outcomes, not hours.
Code and prompts are yours
Every line of code, every prompt and every workflow belongs to you.
Weekly demos, not status decks
Every week you try the latest build yourself and tell us what to change.
30-day post-launch warranty
If the agent breaks in the first 30 days, we fix it free. No change request needed.
Ready to automate?
Let's find the one workflow
that's costing you the most
30 minutes, no slides, no hard sell. We'll map one workflow you'd automate and show you what it would take.

