Pre-trained · multi-worker · audit-trailed · human-in-the-loop

Your AI workforce. Hired like humans. Working together.

apsera.ai gives you a team of pre-trained AI coworkers who chat with you, hand off work to each other, and execute in your real apps. You stay in the loop — they pause for your call before anything risky, and every step is on the record.

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apsera.ai · Avery · Salesforce Admin · Active

You

2:14 PMYou

Pull every Account where Industry = Healthcare and document them in Confluence under “Q4 healthcare pipeline”.

📎 q4-account-template.pdf

AveryAI2:14 PM

⚙ sf_query⚙ cf_list_spaces⚙ cf_create_page

Done. Pulled 23 Healthcare accounts from Salesforce, formatted them per your template, and published the page → Q4 healthcare pipeline. Paused once for your approval before publishing.

The problem

Knowledge work is glue work.

Updating CRM from call notes. Pulling lists. Drafting docs. Filing tickets. Replying in Slack. The work that holds a business together — and the work that burns out your best people.

~40%

of senior IC time goes to coordination, status, and writing things down — not the craft you hired them for.

$110k+

average loaded cost of a U.S. ops/admin hire who spends most of the day inside SaaS tools.

∞

tabs open. Most workflows are five tools and a Slack thread, not a single pane of glass.

A day with apsera.ai

One ask. Three workers. You in the loop.

You ask Pat to launch the Q4 healthcare campaign. Watch how the team coordinates, hands off, and pauses for you when it matters.

You· 9:02 AM

@Pat — let’s spin up the Q4 healthcare campaign. Pull our existing healthcare accounts, draft the email sequence, and queue it for review.

Pat· 9:02 AM

Got it. Here’s a 4-step plan: (1) Avery pulls Healthcare accounts from Salesforce and writes a Confluence brief. (2) Cole drafts the email sequence in the marketing repo and opens a PR. (3) You review the PR. (4) Avery schedules the campaign in Salesforce Marketing Cloud.

⏸ paused for your approval on the plan

⚙ plan⚙ submit_plan

You· 9:05 AM

Approved.

Avery· 9:08 AM

Pulled 23 Healthcare accounts from Salesforce — 14 active customers, 9 prospects. Drafted the brief in Confluence: Q4 Healthcare Pipeline. Tagged Pat in the page so he can pick up the next step.

⚙ sf_query⚙ cf_list_spaces⚙ cf_create_page

Cole· 9:31 AM

Drafted the 3-email sequence in marketing/q4-healthcare/ and opened PR #482. Used tone from brand-voice.md. Paused for human review before pushing to staging.

⏸ PR ready for your review

⚙ gh_clone⚙ gh_edit_files⚙ request_human_approval⚙ gh_open_pr

You· 11:14 AM

Tightened the subject line on email 2. Approved & merged.

Avery· 11:18 AM

Campaign scheduled in Salesforce. Send window: Tuesday 9 AM PT to all 23 accounts. Logged the launch in the activity feed. Pat — handing back to you for sign-off.

⚙ sf_create_record⚙ sf_query

Pat· 11:18 AM

✅ Plan complete. End-to-end time: 2h 16m. 4 tool calls per worker, 2 human checkpoints. Full audit trail in /activity.

That same workflow used to take a 4-person ops sync and 2 days of back-and-forth. With apsera, you ran it from one chat thread.

How they coordinate

Specialists. Not generalists.

Each worker is pre-trained for a single role and stays in their lane. They hand off cleanly via the workforce — and pause for you whenever judgment is needed.

Pat — PM

Plans and orchestrates

Decomposes goals into a dependency-aware plan
Assigns each step to the right teammate
Tracks progress, surfaces blockers

Avery — Salesforce Admin

Lives in the CRM

Queries, updates, creates records via SOQL + REST
Writes briefs and reports in Confluence
Pauses for approval on writes that touch live data

Cole — Engineer

Owns the code

Reads repos, edits files, opens PRs
Runs CI checks before requesting review
Pauses before anything that touches production

Real use cases

Built for the work that makes companies go.

Sales ops, customer success, engineering, finance, knowledge management — anywhere a human is currently translating between five SaaS tools, an apsera workflow already exists.

📈

Quarterly business review

@Avery pull all closed-won opportunities by region for last quarter and write the QBR brief in Confluence.

Avery runs SOQL: closed-won by region + amount
Generates a markdown report with summary tables
Publishes to Confluence under 'Q3 QBR'
Posts the page link back to Slack

From ask to published doc: ~6 minutes.

🛠️

Engineering ticket → PR

@Cole pick up JIRA-742, the auth retry bug. Open a PR with a fix.

Cole clones the repo, reads the failing test
Edits the auth client, regenerates the test fixture
Runs CI locally, pauses for review
Opens PR with linked Jira issue auto-closed on merge

Engineering manager reviews instead of writing the patch.

🤝

Customer migration

@Pat we’re moving Acme to the new pricing tier. Coordinate the work.

Pat plans: SF update → email → DocuSign send → ticket close
Avery updates the Account + Opportunity records
Cole triggers the migration script in the customer's tenant
Pat pings you when each step lands

Five tabs collapsed into one chat.

📚

Onboarding a new account

New customer Northwind signed today. Get them set up.

Avery creates the Account + initial Contact records in Salesforce
Cole provisions the customer's tenant in your infra
Avery writes a welcome email, queues for review
Pat tracks the 7-step onboarding checklist

Onboarding SLA: same day, every time.

🧹

Data hygiene sweep

@Avery audit Accounts with missing Industry or Billing Country and fill them in from the website.

Avery queries Accounts where Industry IS NULL
For each, fetches the website and infers the industry
Pauses once for approval on the bulk update
Updates 47 records and posts a summary

The kind of work no one wants to do, done overnight.

📝

Documentation refresh

@Avery our Salesforce field map has drifted. Update the Confluence page.

Avery runs sf_describe_object on every custom object
Diffs against the existing Confluence page
Generates an updated table with new + changed fields
Updates the page, version-bumped, with a changelog

Docs that actually stay in sync with reality.

You stay in control

Workers ask before they break things.

Every write, every external send, every irreversible action pauses for your call. The worker explains what they’d do, lists alternatives, and resumes the moment you decide — from chat or the portal.

Approve

One-click yes

The worker proposes, you tap Approve, the loop continues. Zero ceremony for the boring 90%.

Choose

Pick from options

When the worker is ambiguous (“there are two Northwind opps — which one?”), they hand you the choices.

Respond

Type the answer

When info is missing, the worker asks; you reply in chat; the work resumes with your reply folded into the prompt.

How to start

From sign-up to first completed task in under five minutes.

01 · Hire

Pick from the catalog

Avery for Salesforce, Cole for engineering, Pat to coordinate. Hire with one click.

02 · Connect

Sign them into your tools

Each worker connects each tool with the user’s own OAuth — Salesforce, GitHub, Confluence, Jira, Slack.

03 · Brief

Upload your playbooks

PDFs, DOCX, Markdown, URLs. Each worker has a knowledge base — chunked, embedded, retrieved in every reply.

04 · Work

Chat. Approve. Repeat.

Messages become tasks. Tasks call tools. Tools wait on you when needed. Audit log captures everything.

The starter team

Pre-trained AI workers ready to hire. Each one is a specialist with chat, tool access, and memory.

Avery

Salesforce Admin

Updates Salesforce records from chat or call notes, audits data hygiene, builds reports, and writes follow-up docs in Confluence.

SalesforceConfluenceSlack

Available today

Cole

Software / Solutions Engineer

Reads code in GitHub, makes targeted edits, opens pull requests for your review, and pauses before anything that touches production.

GitHubConfluenceSlack

Available today

Pat

Project Manager

Breaks goals into a dependency-aware plan, assigns each step to the right teammate, tracks the work, and surfaces blockers.

JiraConfluenceSlack

Available today

More roles in the queue: data analyst, sales rep, marketing ops, finance, customer success.

What’s in the box

Everything below ships out of the box, on a stack that costs $0/mo idle.

💬

Chat-first interface

Each worker is a chat thread. Send messages, attach docs, watch tool calls execute live.

📚

Per-worker knowledge base

Drive-style view: upload PDFs, DOCX, MD, URLs. Embedded with Cloudflare Workers AI, retrieved via cosine similarity in pgvector.

🔐

Per-user OAuth

Each worker authenticates each tool with the connecting human’s credentials — no shared service accounts, no permission sprawl.

🛑

Human-in-the-loop

Risky writes pause for a structured approval. The worker explains, you decide, the loop resumes.

📋

Live audit trail

Every thought, tool call, and tool result lands in the activity log. Compliance teams get a complete record.

🧠

Session boundaries

“+ New chat” archives the current thread so each worker stays focused. Old exchanges remain auditable.

Common questions

What does a worker actually do?

A worker is a pre-trained AI specialist with chat, tool access, and memory. You give them tasks in plain English; they plan, call tools in your real apps (Salesforce, GitHub, Confluence, Jira), pause for your call on anything risky, and reply with a complete audit trail of every step.

How do workers hand off to each other?

When you ask Pat to coordinate something, Pat decomposes the goal into a plan and assigns each step to the right teammate. Avery does Salesforce work; Cole writes code; the human reviews when needed. Each handoff and tool call lands in the shared activity log.

Whose credentials do they use?

Yours, per worker, per tool. Each worker has their own OAuth connection per integration. Their permissions match the human user who clicked Connect — no shared service accounts, no permission sprawl.

What about my company documents and SOPs?

Drop them in. Each worker has their own knowledge base — PDFs, DOCX, Markdown, HTML, or URLs. We chunk + embed via Cloudflare Workers AI (768-dim BGE), store in pgvector, and ground every reply via RAG. Original binaries in Cloudflare R2.

When do I have to step in?

Every action with side effects (writing to Salesforce, opening a PR, sending an email) pauses for your approval. Approve, reject, choose from options, or type a custom reply. Read-only work runs without interruption.

Can I bring my own AI / BI license?

For workers who need vendor-specific licensing (Power BI Pro, Tableau Creator, etc.), you connect your own. apsera.ai integrates the tool — you pay the vendor directly.

What does it cost to run?

The platform itself runs on a near-zero idle stack — Cloudflare R2 + Workers AI free tiers, Supabase pgvector, Anthropic pay-per-token. You pay for the LLM by usage and your own SaaS licenses. Hosted-product pricing announced at launch.

Is it safe to give an AI access to production?

You decide. Approvals are required by default for writes; the worker can’t bypass them. Read-only flows are safe to run on autopilot. Everything is logged. Permissions flow through the user’s OAuth grant — the worker can never exceed what the human connected.

One chat. Three workers. The work, done.

Start with a single worker in under five minutes. Hire the team as you grow into it.

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