TEXERA
Get the AI audit
WE BUILD THE
AI
EVERYONE ELSE
JUST DEMOS.

Deploying an agent into a real workflow is not a chatbot pilot. It is engineering work, and most companies try to do it on the side. Built at Amazon. First system live in 4 weeks.

Get the AI Audit→See the work

What we do

We build AI agents that take over the work your team does by hand.

An agent is software that runs a real task end to end, inside the tools you already use. We find where the time goes, build it, wire it in, and keep it sharp.

  • SupportTriage and resolve tickets
  • SalesQualify and follow up leads
  • FinanceReconcile and flag spend
  • OperationsPull reports, route the work

WHERE THE WEEK GOES

Your senior operators are running the automation attempt on the side of their real jobs.

~100hrs / week

30 people × ~40 min / day

Automation Anywhere, 2020

~$340K/ year

Loaded cost at ~$70 / hr

U.S. Bureau of Labor Statistics, 2025

57%automatable

of U.S. work hours, with current AI

McKinsey Global Institute, Nov 2025

Three teams bought three tools. No one owns the outcome.

This is not a tooling problem.

No one's job is to make the agents work.

01 / AUDIT/ 2 weeks / $2.5–5K

Find the $340K

you're losing.

Two weeks inside the business. Every workflow mapped, timed, costed. Where the handoffs fail and what an agent can actually take. You leave with the list and the price. You decide what we build.

02 / BUILD/ 4–8 weeks / $7.5–25K

Ship the thing.

Not a deck.

We build the agent and wire it into your systems. Evals against your real data. Human checkpoints where they matter. Live in your stack while most vendors are still writing the SOW.

03 / MANAGE/ monthly / $3–10K

Built once.

Kept sharp.

The system drifts. Models change, APIs change, your process changes. We rework the agent on a monthly cycle so it keeps doing the job. Not a ticket queue.

One operations board. Before, and after.
Operations
Ops Health23
Customer Support Queue
Critical
347
↑ 6h 42m
Unread
Cost of Drag
Bleeding
$28,400
Burned this week
Finance / Reconciliation
Behind
12 days
Behind · Last reconciled Mar 26
Throughput · 24h
Failing
23%
SLA
42%
Auto-Resolved

What the audit surfaces. Tap Live to see the same board after Texera.

Texera / Case StudiesAll 5 still running

Things we built.
Still running today.

Each one is real software a real team uses every day. The numbers below are what they actually do, not what we said they’d do.

Named clients under NDAThe 5 ↓

  1. The regional ops director stopped opening 4 systems on Sunday night.

    4 → 1

    Systems, one view

    A 12-studio fitness franchise was burning Sunday nights cross-checking MindBody for attendance, Club OS for lead flow, Trainerize for PT adherence, and a brittle Google Sheet the regional ops director rebuilt every week just to see which locations were slipping. We built a workspace the team talks to in plain English. Ask why studio 7 is down on retention, get the answer in one place, pulled live from the 4 systems underneath, with the names of the members who stopped showing and the trainers they were assigned to.

  2. Reps stopped writing first drafts and stopped getting stuck on objections.

    3 in 4

    Drafts sent as-is

    A 40-person B2B software company's AEs were spending half their morning writing first-touch emails and fumbling the same 5 objections on live calls. We built an assistant that drafts the outreach from the rep's notes, pulls the right objection response from the internal playbook, and sits inside HubSpot and Gmail where the reps already work. The team ships more outreach, answers harder questions on the first call, and the playbook finally gets used.

  3. New hires stopped interrupting the principal on day 3.

    6 → 2 wks

    Time to productive

    A 60-person professional services firm was burning 6 weeks of ramp time on every new hire, most of it spent asking the 2 senior people the same questions over and over. We trained a house knowledge layer on their SharePoint, past project decisions, and the SOPs that actually live in people's heads. New hires query it in Slack before they interrupt anyone. The senior team got their calendars back and ramp dropped to about 2 weeks.

  4. The Monday morning ops report now writes itself by 7am.

    3 hrs

    Back every Monday

    A 30-person e-commerce operator's weekly business review used to eat the founder's Monday, 3 hours of pulling numbers from the shop, the ad account, and the finance tool, then writing the story around them. We built a quiet agent that runs overnight, drops a finished report in her inbox before she's up, and flags the 2 or 3 things that actually changed. She now spends Monday on the business, not on the report.

  5. Open a customer and the full story is already there.

    12 sec

    To full context

    A regional insurance brokerage's account managers were opening 3 tabs, Zendesk, the policy system, and a shared Excel of renewal notes, every time a client called in. We stitched it into one view that loads the full relationship the moment a name is typed: history, open issues, what was promised, who owes what. The “let me pull that up and call you back” sentence is gone from the floor. Clients feel known on the first sentence.

04 / Operating Cost

You're already paying for the agent.

01Team Size
02Avg Fully-Loaded Salary
$
03Hours / Week on Repetitive Work
12

A

Annual Operating Drag

$1,496,250

Assumes an agent takes 70% of those repetitive hours, the conservative end of what we see.

B

Broken Down

$374,063per quarter
$124,688per month
$28,774per week
$5,938per business day

C

Equivalent To

15.8full-time hires at this salary
32,760hours an agent could take, per year

D

The builds I ship tend to pay themselves back inside 90 days. The agent keeps running after that.

Same conservative 70% basis as the number up top.

Email Me This Snapshot

One email. No sequence, no sales follow-up.

// Agent simulation

Run 2814/ Lead qualification.

Live·TEXERA-AGENT-07·14:23:08 UTC·Deploy a8f3c2·Anonymized client run

001

Every source checked. Every tool touched. Every handoff accounted for.

Walk through one of these with us

Audit first

Start with the audit. Decide the build after week two.

Two weeks to map the workflows, cost the drag, and rank what is worth automating. You keep the audit whether we build anything or not.

01 / AUDIT
2 weeks
$2,500 to $5,000

Map the work before you fund the build.

  • Workflow inventory across the teams and tools you choose
  • Time cost and risk score for each workflow
  • Ranked build list with expected payoff
  • Build/no-build recommendation you can keep
Start with the audit →Walk through the audit first
02 / BUILD
4 to 8 weeks
$7,500 to $25,000

Put one workflow into production.

Quoted after the audit. One scoped workflow, built inside the tools your team already uses, tested on real cases, and handed over with human checkpoints where judgment matters.

  • Built inside the tools your team already uses
  • Tested on real cases and source data
  • Human checkpoints where judgment matters
  • Handoff and training included
03 / MANAGE
Optional monthly
$3,000 to $10,000 / mo

Keep the system owned after launch.

Month-to-month operating support once something is live. Monitoring, break/fix, practical upgrades, and a named escalation owner when the workflow changes.

  • Monitoring and break/fix
  • Model and tool updates when they matter
  • Monthly operating review
  • Named escalation owner
  • The audit stands alone
  • No build obligation
  • Fixed scope after week two
  • Managed ops is month-to-month

On the record

Proof over pitch.

What we ship, what we refuse, and who owns it after.

  1. WHAT WE SHIP

    Production agents living inside the tools your team already uses. Tested on real cases. Handed off with a named owner and human checkpoints where judgment matters.

  2. WHAT WE DO NOT

    Slide decks, kickoff theatre, or reference cases behind paywalls. The 5 operations running above are the reference set. If they are not enough, we are not the right shop.

  3. WHO OWNS IT AFTER

    The operator who built it. Month-to-month support if you want it, cancellable when you do not. No retainer starts until something is live.

Frequently asked

Questions you're probably asking.

Open any question. If the answer is not here, the audit will give it to you in the first week.

  1. No. We build multi-model agent systems that orchestrate Claude, GPT, Gemini, and specialized models together. Each model handles what it's best at.

Start here

Let's map
the work.

  1. Two weeks, fixed scope.
  2. We map the work, cost the drag, and rank what to automate.
  3. You keep the map either way.
Walk through the five first