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AI

AI on the admin around selling, not on the selling

The reliable wins here are unglamorous: call notes written automatically, CRM records updated without anyone typing, research summarised before a meeting. The unreliable ones are the ones being marketed hardest, which is AI conducting the outreach itself.

  • Hours back measured against a baseline
  • A person still has the conversation
  • Reviewed outputs checked, not trusted

Tell us what you need

A senior person reads this and replies within one working day. No call centre, no drip sequence.

Partners & recognition

The stack we work in, the clients we keep

The platforms we build and run campaigns in, and the clients whose numbers we publish with their names on. HubSpot is the one partnership we claim; the rest are tools we use, not badges.

  • German Medical Center
  • The Reformery Clinic
  • Alma Laser
  • Roxana Aesthetics Clinic
  • Lamel
  • Dotline Studios

The problem

Automated outreach at scale, ignored at scale

Personalised at volume by a model that read a LinkedIn profile. Recipients recognise it immediately, reply rates have collapsed as everyone adopted it, and the domain reputation damage outlasts the campaign.

Where AI in sales goes wrong

  1. It automates the conversation instead of the admin

    The part a rep should own is the conversation. The part worth automating is everything around it. Most tooling markets the reverse because it demonstrates better.

  2. Generated personalisation is transparent

    A first line referencing something from a profile, in a rhythm every recipient has now seen a hundred times. It reads as less personal than no personalisation at all, because it signals automation while pretending otherwise.

  3. Nobody checks what it wrote into the CRM

    Automatic call summaries that are mostly right. Mostly right data, unchecked, silently degrades the reporting everyone is making decisions from.

  4. Sending volume damages the domain

    Because it became cheap to send more, teams do. Bounce and complaint rates rise, deliverability falls, and the legitimate email stops arriving too.

What is included

Where AI helps a sales team

An explicit list, in rough order of how reliably it pays for itself.

Call recording, transcription and summary

The clearest win. Meetings transcribed, summarised and the actions extracted, so a rep does not spend twenty minutes after each call writing notes. Checked before it lands in the CRM.

Automatic CRM updating

Fields populated from the conversation rather than typed. The admin reduction reps notice most, and the thing that most improves data quality because the alternative is a blank field.

Pre-meeting research briefs

A summary of the account, recent news, previous conversations and open items, before each call. Ten minutes of preparation a rep would not otherwise do.

Proposal and quote drafting

First drafts assembled from your templates and the deal record, for a person to finish. Structured work with a human check at the end.

Email drafting, not sending

Drafts a rep edits and sends. The distinction matters: assisted writing works, automated sending at volume does not.

Deal risk flagging

Surfacing deals that have gone quiet or where a stage has stalled beyond its normal duration. Pattern-matching on your own pipeline history rather than a generic model.

Lead enrichment and routing

Filling in firmographic data and routing on it, so a rep does not research a lead before deciding whether to call it.

What we would not automate

The outreach itself, discovery questions, negotiation, and anything where a wrong answer commits you to something. Those stay with people and we will argue the point.

Technology

What we build this with

Your CRM at the centre, since that is where the value lands.

CRM

Where the time is saved.

  • HubSpot
  • Salesforce
  • Pipedrive
  • Custom API work

Conversation

The clearest win.

  • Call recording and transcription
  • Summary and action extraction
  • CRM field population
  • Review workflow before write-back

Enrichment

So reps do not research.

  • Firmographic enrichment
  • News and signal monitoring
  • Routing on enriched data
  • Duplicate prevention

Governance

Because outputs are not facts.

  • Human review before CRM write
  • Accuracy spot-checking
  • Recording consent handling
  • Data handling policy

How we work

How this gets built

Baseline the admin time first, automate the safest things, check the outputs.

Before automating it

How long reps actually spend on notes, CRM updating, research and proposal drafting. Usually more than management expects, and it is the baseline any later saving is proved against.

  • Time per admin task measured with reps
  • Baseline recorded before any change
  • Tasks ranked by hours consumed
  • Consent and recording rules checked first

Notes and records first

Transcription, summarisation and CRM population, with a review step before anything is written. Highest return and lowest risk, which is a rare combination.

  • Call summarisation live first
  • Review step before CRM write-back
  • Fields populated, not free text dumped
  • Reps confirm accuracy in the first weeks

Once the first is trusted

Pre-meeting briefs, proposal first drafts, email drafting for a rep to edit. Expanded only after the first layer has proved accurate.

  • Pre-meeting briefs from CRM and public data
  • Proposal drafts from your templates
  • Email drafted for editing, never auto-sent
  • Deal risk flags from your own pipeline history

Honestly

Spot-check outputs on a schedule, and measure hours saved against the baseline. Where something is not saving time net of checking, we switch it off.

  • Outputs spot-checked on a rhythm
  • Hours saved measured against baseline
  • Anything not paying for itself, withdrawn
  • Data quality compared before and after

Why us

Why this actually saves time

Because it targets the admin rather than the conversation.

The admin is what gets automated

Notes, CRM updating, research, first drafts. That is where a rep's non-selling hours actually go, and it is the least risky place to apply this.

We will not automate your outreach

Generated cold email at volume is transparent to recipients, damages your domain and has collapsing reply rates. We would rather lose that piece of work than build it.

Outputs are checked before they become data

A summary that is mostly right, written unchecked into the CRM, quietly degrades every report built on it. A review step is cheap and it is the difference.

Hours saved are measured, not claimed

Against a baseline recorded before anything changed. Most AI sales pilots cannot prove their saving, which is why they lose their budget at renewal.

Start a projectAsk your reps how long they spend on notes and CRM updating each week. That number is usually the business case on its own.

Industries

Proven results across sectors

Every number below is the count of case studies we have actually published in that sector, and the best result among them. Nothing is a counter.

Selected work

Programmes behind this work

Client stories

What clients say

On camera and in writing — swipe through the founders and teams we’ve helped design, build and grow.

In their words

★★★★★
GMC is thrilled to extend our heartfelt appreciation to Adnika! Collaborating with Ehsan and his team has consistently been an absolute delight. Ehsan's dedication and commitment have ensured that German Medical Center remains an exceedingly satisfied and happy client, especially regarding their Hubspot Onboarding, Digital Marketing, Website Development, Content Creation and Social Media Marketing. Adnika is indeed the Best Digital and Growth Marketing Agency in UAE!
German Medical CenterDubai, UAE
★★★★★
Adnika provided us with their Inbound Sales and Marketing solutions through Hubspot. They helped us generate more qualified leads for our sales team, drive website traffic, increase customer engagement, and grow our customer base. Adnika is a reliable partner that has always taken our specific goals and needs seriously.
Ómar Thor ÓmarssonCMO, Meniga
★★★★★
Adnika has helped us plan, implement and optimize ad campaigns on Facebook and Instagram. Adnika is truly committed to Performance Marketing. They provided us with a fantastic dashboard with detailed KPIs that helped us track the campaigns’ performance in real time. Adnika also gave us helpful and dedicated support during the whole project, and the campaigns turned out to be a great success. We highly recommend working with Adnika's growth experts.
Christer PihlqvistKapi Marketing
★★★★★
We really enjoyed working with Adnika’s team. Not only are they talented, but they all take the time to understand whom they're working with, what they're trying to accomplish, and how to help the business achieve its goals. The quality of work we've experienced has made a huge difference for us and helped drive new business.
Ola BringleMarketing Advertising
★★★★★
Adnika helped Sea Technology with setting up new digital channels, such as Google Search Ads, to attract more customers and leverage our brand. We are very satisfied with the results and we will continue with the implementation of lead generation, marketing automation, and performance marketing.
Bengt LundquistSeatech
★★★★★
Working with the Adnika team has been a real pleasure! Extremely friendly, Ehsan and Elin are always available with prompt replies, valuable insights, patience, a problem-solving attitude, and high knowledge. Super easy to work with them. I highly recommend the Adnika team to help your business!
Magnus BruhnPharmaceuticals
★★★★★
I am an artist, but I also manage a collective of DJs. In order to promote our services to our clients, we needed Inbound solutions that could attract the right traffic and promote the brand. Adnika built and designed our Inbound processes as well as create and manage campaigns on social media and Google Ads which helped us attract many more customers. I’m very happy!
Denise LopezXOXO Agency
★★★★★
We've been using Adnika growth marketing solutions only for a few months. They are highly professional, competent, experienced, and creative. Get ready to get to work with this agency. They will come alongside you as a business owner and feel your pain and joy! Get ready to transform your business.
Pierre-Alexande RauxTelecommunications

Questions

AI sales automation, answered plainly

Including what we will not build.

AED 20,000 to AED 120,000 covers most of what we are asked to build. The number moves on how many workflows, whether CRM integration needs building, how many users, and whether ongoing accuracy review is included. Tool and model usage costs are separate and ongoing. Anything quoted before those are known is a guess. We scope first, then price, and the scope document is yours whether or not you proceed. These are market ranges rather than a fixed rate card — the proposal carries the real figure.

No. Automated outreach at volume, however well personalised it appears, is recognisable to recipients, has collapsing reply rates as adoption has spread, and puts your sending domain at risk. We will build everything around the conversation and leave the conversation with a person. If that is the specific thing you want, there are vendors who will sell it and we are not one.

Call recording, transcription and summarisation with automatic CRM population. It is the highest-return, lowest-risk item on the list, reps like it immediately because it removes real hours, and it improves data quality as a side effect because the alternative was usually an empty field.

First drafts from your templates and the deal record, yes, for a person to finish. Sending an unreviewed generated proposal to a client is a commercial risk rather than an efficiency, and the review step is where the accountability sits.

Pattern-matching on your own pipeline history, yes — deals that have gone quiet, stages held longer than normal, missing committee contacts. It is useful as a prompt for a human to look, not as a verdict, and it needs enough closed history to mean anything.

Consent rules matter and they vary by jurisdiction and by who is on the call. We check the position for your situation before building anything that records, and it is the first thing to resolve rather than the last. Notifying participants is the safe default regardless.

That depends entirely on which tools are chosen, and it is a decision rather than an accident. We select tooling with appropriate data handling, avoid consumer-tier products for anything containing client data, and write the rules down. If this matters to you, ask every vendor directly and get it in writing.

Spot-checking on a schedule, plus a review step before summaries write to the CRM. In the first weeks reps confirm every summary, which both catches errors and builds the trust that determines whether they keep using it.

Four to ten weeks depending on how many workflows and how much CRM integration is needed. Starting with call summarisation alone can be live in under a month.

It depends on how much admin your reps currently do, which is why we measure it first. The recurring pattern is that note-taking and CRM updating consume more hours than management estimates, and that is where the bulk of the saving comes from. We report hours against the baseline rather than quoting a benchmark from a vendor study.

Yes, and we would check that first. Several CRM and conference platforms now include transcription and summarisation, and if you are already paying for it, using it beats buying another tool.

Enrichment and summarisation, yes, and it is a reliable win. Firmographic data filled in, recent news summarised, previous conversations pulled together into a brief before a call. What it should not do is decide which leads are worth pursuing on its own, because the reasoning is not inspectable and a rep who cannot see why will not trust it.

It works better than most people expect for the mechanical parts — talk ratio, how long before a question was asked, whether the next step was agreed. It is much weaker at judging whether the conversation was any good, and a manager listening to two calls a week still beats it. Use it to surface which calls a manager should listen to.

Not on its own, and treat any claim otherwise carefully. What it can do is flag deals whose behaviour resembles ones that historically slipped, which is a useful prompt for a human to look. A forecast a sales director cannot interrogate does not get used, regardless of accuracy.

Some, and less than you might fear. Call summarisation and transcription can run on a messy CRM and will actually improve it, because populated fields beat empty ones. Anything predictive needs clean history, which is why we sequence it that way.

Considerably less than with most CRM changes, in our experience, because the first thing it does is remove work rather than add it. The resistance appears when the automation starts monitoring them rather than helping them, which is a scoping decision you make rather than an inevitability.

No questions match — try another search.

Next step

How many hours a week do your reps spend on notes?

Ask them rather than estimating. That number, multiplied across the team, is usually the whole business case.

Get a quote