Exordiom Labs·

Internal AI agents,
installed by operators.

We embed an AI Engineer with your finance, GTM, support, CS, and ops teams. They find the work worth automating, blueprint the agent, ship it in weeks, and stay on the hook for it. When you're ready, the whole team becomes your Center of AI Excellence — fully managed by us.

~/exordiom/agents·live
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agents.online·8avg. latency412ms
The Mandate

An AI Engineer, on the inside.
Not a SaaS subscription.

Most teams don't need another platform — they need an engineer who sits next to the work, finds what's worth automating, and ships it. That's the entire model.

01.
Embed

A senior AI Engineer joins your team for a focused window. They sit in the standups, read the docs, shadow the work. They learn the business — and they propose the agents.

02.
Build

They write the spec, build the agent, run the evals, and ship it. Six weeks per agent, end to end. Production-grade, in your stack, with your data — never ours.

03.
Own

We support every agent we ship — QA, on-call, retraining, extensions. When you're ready, the whole engineering team becomes your in-house COE, fully managed by Exordiom.

P. 01AI Engineer · In-residence
Blueprints · Starting points

The shape of the work,
not a catalogue.

Below: eight agents we've shipped recently — each a starting point, never a template. Your team's blueprints will be different. Open any one to see how it lives in the team that uses it.

The grid below is a sample, not a catalogue. Every blueprint here is one we've shipped — but every engagement we run is bespoke. Your team's agents will look different. The point is that this is the shape of the work: a tightly-scoped, production-grade agent that owns one slice of one team's day.
EX-LABS · BLUEPRINT SERIES · 2026
Live · Triage agent

One ticket. Six steps.
Watch it work.

This is the support triage agent, running against three real-looking inbound tickets. Pick one, hit run, see exactly how it classifies, retrieves context, drafts a reply, and decides whether to auto-send or hand off. Every agent we build is this transparent.

inbox · 3 openlive
ticket #4827 · from priya.s@northwind.co

Refund for unused seats — billed yesterday

"Hi — we downgraded last week from 12 to 8 seats but were still charged for 12 yesterday. Can you refund the difference? This has happened before in February."
01parseextract intent, entities, account
02classifyroute to category · score sentiment
03lookup_accountplan, tenure, MRR, prior tickets
04retrieve_kbtop-k semantic match · cite sources
05draft_replycompose · match tone · ground in citations
06routeauto-send · or hand to human with bundle
Exhibits · Recent shipped agents

Four blueprints,
built in the last quarter.

Below: four agents we've recently shipped, each presented with the surface it lives in and the architecture beneath it. None of these existed before we embedded with the team. None of them will look identical for your team — but the shape is right.

EX-AGT-CS-04SHEET 01 / 04
SCALE 1 : 1EX-LABS
QBR Deck Builder — interface
IN PRODUCTION
EXHIBIT 01
Customer Success

QBR Deck Builder.

Sarah's CSMs were spending two days a week assembling Quarterly Business Reviews from a half-dozen tools. We embedded for three weeks, mapped the deck patterns, and shipped an agent that pulls live customer data and drafts the deck — talking points, charts, executive narrative — for the CSM to refine.

  1. 01Conversational front-door — CSM picks the customer, the agent runs.
  2. 02Pulls live data from Salesforce, Gainsight, Snowflake, support.
  3. 03Drafts story arc, surfaces insights, builds on-brand slides.
  4. 04Preview and download — CSM owns the final review.
TeamCustomer Success
Build3 weeks · 1 AI Engineer
StackSalesforce · Gainsight · Snowflake · Figma
Outcome8 hrs → 12 min per QBR draft
EX-AGT-LG-02SHEET 02 / 04
SCALE 1 : 1EX-LABS
Contract Consistency — interface
IN PRODUCTION
EXHIBIT 02
Legal · Procurement

Contract Consistency.

Sarah's legal team renews the same customer every year, and every year the new contract drifts a little — payment terms, liability caps, auto-renewal clauses. We built an agent that compares every incoming contract against the history for that customer and surfaces only the genuine deltas.

  1. 01Agent summary — what changed, what matters, in plain language.
  2. 02Risk score weighted by clause importance, not raw diff count.
  3. 03Issue table grounded in citations — every flag links back to the source clause.
  4. 04Similarity match against prior agreements for context.
TeamLegal · Procurement
Build4 weeks · 1 AI Engineer + 1 SME
StackIronclad · DocuSign · Salesforce
Outcome82% of renewals cleared without lawyer review
EX-AGT-DST-01SHEET 03 / 04
SCALE 1 : 1EX-LABS
In the channel, not another app — interface
SURFACE / SLACK
EXHIBIT 03
Distribution

In the channel, not another app.

Once the QBR agent was working, the CSMs asked the obvious next question: can we just @-mention it in Slack? Two weeks later, it was. Same agent, same data, different surface. We ship agents wherever your team already is — Slack, Teams, email, the CRM sidebar — not in a separate dashboard nobody opens.

  1. 01@-mention to invoke — agent feels like a teammate, not an app.
  2. 02Inline progress — the steps stream so the team sees the work.
  3. 03Deliverable in-thread — preview, download, comment.
  4. 04Same agent, different surface — one canonical brain.
TeamCross-functional · CS, Sales, RevOps
Build2 weeks (on top of the base agent)
StackSlack · Teams · Gmail · CRM sidebars
OutcomeAgents used daily, not "evaluated quarterly"
EX-AGT-OPS-01SHEET 04 / 04
SCALE 1 : 1EX-LABS
The COE control plane — interface
COE / CONTROL PLANE
EXHIBIT 04
Operations · COE

The COE control plane.

Once you have a handful of agents in production, you need to operate them — model failover, cost monitoring, alerting, evals. This is the layer the COE works in: a unified plane across every agent, every provider, every team. Standard issue with every Exordiom engagement, branded as yours.

  1. 01Provider-agnostic — Gemini, Anthropic, OpenAI, Bedrock, all wired.
  2. 02Multi-agent routing — let agents call agents, with the right model for each.
  3. 03Primary / fallback model failover — no single point of failure.
  4. 04Live message volume, latency, errors — and an alert for every one.
TeamCenter of AI Excellence
BuildDay one of every engagement
StackMulti-provider · multi-region · observability built-in
OutcomeZero-headache agent operations at scale
The Process

Six weeks,
Plotted.

The same trajectory every time, drawn against the calendar so you can see the overlap. Discovery and Blueprint run hot in week one, Build holds the middle, evals and roll-out finish on schedule, and Operate runs forever.

EX-LABS / DELIVERY-TRAJECTORY1 AGENT · 6 WEEKS · 1 AI ENGINEER
PHASE
W1
W2
W3
W4
W5
W6
01Discovery
DISCOVERY

AI Engineer embeds with the team. Maps the workflow, surfaces candidate agents, scores impact and feasibility.

02Blueprint
BLUEPRINT

One page. Scope, tool surface, data access, guardrails, success metrics. Reviewed and signed off before a line of code.

03Build
BUILD

Engineer builds against the blueprint. Daily demos. Ships behind a feature flag, not a slideware reveal.

04QA & Eval
QA & EVAL

Red-team evals, golden-set regression, latency and cost budgets. We don't hand off until the numbers hold.

05Roll-out
ROLL-OUT

White-glove deployment to the team that'll use it. Training, change-management, on-call from day one.

06Operate
OPERATE

We monitor, retrain, and extend. If/When you're ready, the team becomes your in-house COE — fully managed.

KICKOFF BLUEPRINT SIGNED EVALS PASSED PRODUCTIONEX-LABS · 2026
6 wks
from kickoff to production agent
8
agents shipped across the org per quarter
0
platform lock-in — your stack, your repos
24/7
white-glove support from day one
The end state

Own your
AI machine.

When the agents are working and your team has the muscle memory, the whole engineering bench becomes your Center of AI Excellence — a permanent in-house function we fully manage. Recruiting, retention, on-call, roadmap, performance — handled. You get the COE. We carry the headaches.

01.
Engagement

A small embedded team. One or two agents shipped. You see what it feels like.

Weeks 1–12
02.
Expansion

We staff up against your roadmap. Multiple agents in flight across business units.

Quarter 2–3
03.
COE

The whole engineering team becomes yours — branded, dedicated, fully managed by us. Zero headcount on your books.

Year 1 +
Book a discovery call

A 30-minute call.
One agent identified.

On the call we'll work through your operating teams, sketch two or three candidate agents, and tell you which one we'd build first. No deck. No pitch. Just the work.

  • · 30 minutes, end-to-end
  • · Two or three candidate agents on the table
  • · A one-page recap delivered within 24 hours

We reply within one business day.