Walk-through

How Alva runs a 12-week campaign.

A walk-through of a single autonomous business development cycle, from approval to handover.

By the Alva team · May 2026 · 6 min read

Most AI sales tools speed up individual tasks. Alva runs the whole function. This piece walks through one twelve-week campaign — from the first strategy conversation to a qualified opportunity ready for you to take over — to show what “the autonomous BD function” means in practice.

1.Week 0 — the strategy conversation

A campaign starts with a conversation, not a configuration screen. You tell Alva what you're trying to do — broaden the customer base this quarter, test a new vertical, build pipeline ahead of a fundraise — and Alva works the strategy out with you. It uses whatever it knows about your existing customers, your product, and your market to propose specific options, with trade-offs.

The conversation produces a living strategy document: market, ICP, positioning, channel mix, and the targets for the campaign. This document is the contract Alva runs against for the next twelve weeks.

Strategy conversation · Week 0
Founder ↔ Alva
We've outgrown our two anchor clients. I want to broaden the customer base this quarter but I don't have the bandwidth to figure out where to push.
A
I'd start with the data we already have. Looking at your existing accounts, the strongest performance signals are coming from operations leaders at mid-market healthcare and logistics companies. Healthcare looks more crowded but conversions are higher; logistics is whitespace but slower to qualify. Two proposals to react to: 1. Healthcare-first — fast pipeline, expensive market 2. Logistics-first — slower ramp, defensible position Which appeals more given your runway?
Strategic Partner Mode
Healthcare. We need momentum, not whitespace. Build the strategy around it.
A
Approved. I'll draft a 12-week campaign — strategy document, ICP, outreach angle, and a permission gate at week 6 for a pivot review based on early reply data. You'll see the draft in 20 minutes.
Strategic Partner Mode

2.Weeks 1–4 — discovery and outreach begin

With the strategy approved, Alva goes to work. It builds the prospect list against the ICP — typically a few hundred companies in the first weeks, growing into the thousands. It writes the outreach copy in your voice, drawing on your existing conversations and product knowledge. It sends, follows up, and reads every reply.

You don't direct any of this. You see it happening. The command centre is where you watch the campaign unfold: prospects added, replies in, deals scored. Most days you don't need to open it.

3.Week 6 — the first permission gate

Six weeks in, the data is in. Reply rates by seniority, message variant, and segment are measurable. The strategy document gets tested against reality.

If the data confirms the original strategy, Alva continues. If it contradicts the strategy, Alva pauses outreach and proposes a pivot — a specific, evidence-backed change to positioning, target seniority, or channel — and asks you to approve. You stay in control of strategic direction; you don't have to be in control of execution.

Approval required · Permission gate 2 of 3
Pivot from C-suite to operator-level positioning

Reply data after week 6 suggests positioning is landing harder with operators than executives. I'd like to repoint outreach copy and target seniority for the remaining six weeks. Here's the evidence:

  • Reply rate of 9.2% — above target, but skewed strongly to operator-level recipients
  • C-suite recipients reply at 1.4% — below benchmark; engagement is happening at the operator tier
  • Three customer interviews suggest operators have signing authority on tools under £50k

Estimated impact: +21 qualified meetings vs. current trajectory. Strategy document will update on approval.

4.Weeks 7–10 — reply handling and deal management

With the pivot approved, the second half of the campaign focuses on conversion. Alva replies in your voice, books meetings, scores each opportunity in real time against your sales methodology, and flags risks before deals go cold. Where context is missing — a prospect's budget, an unanswered objection — Alva surfaces it rather than guessing.

Most of this happens silently. The campaign generates briefings, updates pipeline, and produces clean data. You step in for meetings, judgement calls, and the relationships that need a human.

5.Week 12 — hand-over

A campaign ends not when outreach stops, but when qualified opportunities are ready for human-led conversation. Alva hands them over with a one-page briefing each — the buyer, the angle that worked, the open questions, the next best action.

The command centre at this point looks like this:

Live · Week 7 of 12

Healthcare ICP — Q4 Campaign

312
Prospects
47
Replies
8
Meetings booked
Campaign progress
w7/12
Discovery
Outreach
Replies
Deals
Active right now
last 4 hours
  • Sent 23 outreach emails
    14 minutes ago
  • Found 47 new prospects
    1 hour ago
  • 8 replies analysed, 2 marked as warm
    2 hours ago
  • Updated deal scores for 14 opportunities
    4 hours ago

The strategy document updates with what worked. The outreach copy that performed becomes a template for the next campaign. The ICP refines. Each campaign makes the next one sharper.

6.What you do, what Alva does

The split is consistent across every campaign. You do the strategic, judgement, and relationship work. Alva does the execution and the data work. The permission gates are where the two meet.

You
  • Set the strategy
  • Approve at the three permission gates
  • Take meetings and run the relationships
  • Make the judgement calls Alva escalates
Alva
  • Build and refine the strategy with you
  • Run discovery, outreach and follow-up at scale
  • Read and reply to every email in your voice
  • Score, brief and track every deal
  • Surface evidence for every strategic decision

Further reading

  1. [1]METR (2025). Measuring AI ability to complete long tasks. Why long-horizon autonomy is the right framing for what AI can take on.
  2. [2]Anthropic (2024). Building effective agents. On the design of trustworthy, bounded autonomous systems.

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