Agentic AI · Technical Support

Support that actually resolves.

Ansssa investigates customer-specific issues by reading your database, logs, and account state. Replies in plain language, or hands engineering a clean ticket when a human is genuinely needed. Built for high-growth startups.

We’re pre-launch, partnering with a small number of teams before we build.
The experience we’re building
app.ansssa.com
MO
Maya Okonkwo
In-app · Case #41782
Agent active
My withdrawal has been pending for 3 days. What’s happening?
Investigating· read-only0:06
withdrawals.ledgerHELD · 3d 04h
compliance.flagsSoF check open
bank.sof_statusawaiting document
Your withdrawal is held on a source-of-funds check the bank opened Tuesday. I’ve queued the document request. You’ll see an upload prompt under Settings → Verification. I’ll message the moment it clears.
Drafted in your voice · awaiting send
The problem

Support can’t scale as fast as customers do.

Support issues need dedicated technical staff: people who can read systems, trace state, and resolve customer-specific cases. Hiring them at the pace growth demands is hard, and rarely keeps up. Two things tend to happen, often both.

Customers get frustrated and leave.

Engineers get pulled into the queue.

Customer trust on one side, product velocity on the other. Either way, something gives.

Ansssa scales your support to match the volume coming in. Engineers stay on building. Customers stay.

The platform

From first message to resolved case.

One agent that investigates, decides, and replies. Never touching your systems beyond a read.

i · Investigate

It investigates the customer’s question.

The agent goes into your systems to find what’s happening for this specific customer. Queries your database, traces state, reads recent logs. Throughout, the customer is kept in the loop.

Read · Reason · Trace
db.usersplan = verified · tier 2
withdrawals.ledgerstatus = HELD · 3d 04h
compliance.flagssof_check = open
bank.sof_statusawaiting_document
ii · Decide

It picks the right next step.

Three possibilities based on what the investigation found: answer the customer directly, walk them through a self-serve fix, or hand off to your team or engineering with the fix already identified. The agent never takes action on your systems; the customer or a human does.

Answer · Guide · Hand off
Guide customer
Self-serve fix identified
Answer directly
Information request
Hand off to engineering
Needs a human, fix attached
iii · Reply

It replies in your voice.

Every case ends with a reply the customer can act on. In plain language, in your brand voice, on whichever channel they reached out from.

Plain language · Brand voice · Their channel
Your withdrawal is held on a source-of-funds check the bank opened Tuesday. I’ve queued the document request. You’ll see an upload prompt under Settings → Verification. I’ll message the moment it clears.
On every channel
In-appWWhatsApp@EmailVoiceSSlackTTeams
Read-only by design

The safest agent is one that can’t break anything.

Ansssa investigates and advises. The only write it ever makes is the escalation ticket when a human is needed, so it can never move money, change a record, or touch a customer’s account.

These are the principles we’re building on. Formal compliance (SOC 2, GDPR) is on our roadmap, and design partners help shape it.

Read-only access

It reads your systems. It never writes, moves, or mutates.

Scoped credentials

Connected with least-privilege, read-only access you control.

One write, ever

The only thing it creates is the escalation ticket for a human.

No training on your data

We don’t train models on your customers’ data.

Full audit trail

Every system the agent reads is logged and reviewable.

Human in the loop

You can review replies before they reach a customer.

Who it’s for

Two shapes of high-growth startup.

What Ansssa saves depends on which one you are.

Shape iWith a support team

A technical-support team that can’t meet demand.

Customer growth is outpacing the team’s capacity to investigate cases. New hires take time to ramp; volume keeps coming.

Ansssa saves
  • i.Customer churn from slow or delayed support.
  • ii.The cost of hiring and firing as volume swings. Support scales with usage, not with headcount.
Shape iiWithout one

No technical-support team yet.

Customer questions that need investigation land on engineers, founders, or get ignored. Hiring a dedicated technical-support engineer feels expensive and slow at this stage.

Ansssa saves
  • i.The dedicated investigation-engineer hire you’d otherwise need to make.
  • ii.Engineering time. Your developers stay on product, not support.
  • iii.Customer churn from cases sitting in queue or never being addressed.

Help us build the right thing.

We’re taking on a small number of design partners before we build. If support is pulling your team away from product, let’s talk.

A short call. We’ll show you the concept in depth and see if there’s a fit.