Assessing If Your Content Workflow Would Benefit From AI Assistance


Have you ever felt like you live at your computer – pumping out blog posts, social captions, and website copy day in and day out just to keep up? As a freelance writer averaging 2,000 words daily for various clients, I’ve been there countless times with writer’s block hitting, praying for inspiration. The never-ending demands of high-quality, fresh content creation are draining, even for pros.

But what if you had an AI-powered writing assistant? I used to think automated tools could never match the creativity and finesse needed for engaging writing. However, natural language technology has advanced. The right AI might help certain content creators maintain productivity and quality standards through machine learning research and initial draft generation – not replacing you but enhancing your skills.

The key is assessing if and how incorporating AI into existing creative workflows could alleviate pain points without compromising your brand’s style or integrity. Let’s explore key considerations and evaluations around AI collaborations with writers rather than replacing them.

Key Takeaways

● Creating high-quality content at scale can be challenging for writers due to tight deadlines, high volumes, and repetitive tasks that may lead to burnout.

● AI writing assistants provide helpful solutions by automating repetitive research, outlining, and drafting tasks – enabling writers to focus their time on higher-value work.

● While AI tools can provide writing support, the creative vision, brand voice expertise, and industry knowledge of human writers remains irreplaceable.

● Before adopting an AI writing assistant, thoughtfully assess your content needs – including volume, quality standards, and repetitive tasks suitable for automation. Free trials allow informed experimentation.

● When initially implementing AI tools, gradually onboard them while soliciting feedback, ensuring ethical use, and maintaining strong human oversight throughout the content creation process.

● By combining the repetitive task strengths of AI with uniquely human skills, an optimized and productive writer-AI collaboration can emerge – enabling enhanced efficiency and effectiveness.

Statistical Data:

According to research by Slack, around 80% of AI users say this technology is improving their productivity. This strong majority sees benefits from incorporating AI into their workflows. However, perceptions of AI remain mixed overall among desk workers. The same study found that 42% are excited about AI and automation taking over tasks, 31% are neutral, and 27% expressed concerns.

Common Pain Points in Content Workflows 

Creating content isn’t easy. We all face intense volume pressure with little time to meet quality standards. Unreasonable deadlines force submitting pieces before they’re truly finished. Even exceptional writers release subpar work occasionally when rushed. Don’t forget tedious admin tasks like formatting citations or tracking metrics, which constrains creativity. 

“Will My Workflow Benefit From AI Assistants?” The question should be– where in existing team workflows could AI lend a hand to alleviate friction and bottlenecks without sacrificing quality? Targeting boring or repetitive tasks is an easy win. Intelligently using AI for research or idea generation holds promise without replacing expert analysis. More output with less burnout – now that’s a win-win.

Meeting High Volume Demands  

Let’s be honest – the demand for original content is relentless, thanks to blogging, social media and personalized digital experiences. Most creators face pressure to publish daily, if not more often. Without an army of writers, meeting volume expectations while maintaining quality is nearly impossible.  

Ensuring Quality Standards  

Quality content requires time for research, drafting and revisions. But tight deadlines restrict processes, leading to more mistakes. We’ve all rushed pieces out the door, knowing given more time, we could’ve done better. Even exceptional writers release subpar work occasionally when rushed.

Tight Turnarounds 

Unreasonable deadlines that ignore research and drafting realities rarely produce A+ creative work. Yet, clients want prompt deliveries regardless of complexity or feasibility. I’ve submitted articles with typos and trailing thoughts, knowing I could’ve given more latitude. 

Lack of Research/Inspiration  

Under the gun, dedicated research and brainstorming get squeezed out. Writers experience writer’s block waiting for genius to strike. Quality relies on facts, data and insights you cannot pull from thin air, no matter how gifted. We have limited new ideas working solo.

Repetitive Manual Tasks

Responsibilities like copying data, linking sources and ensuring metrics drag creativity. An hour lost on admin tasks means another hour struggling to write at midnight. Even simple content roles come with repetitive tasks that could be automated.

Determine where incorporating AI could provide extra assistance to alleviate friction and bottleneck issues for writers and creative teams.

Will My Workflow Benefit From AI Assistants?: AI Content Capabilities 

The good news is that today’s AI has progressed enough to add value in helping human writers research, outline, and draft baseline content. This frees up mental bandwidth for expert matters to showcase strategic storytelling, engaging analysis, and creative conceptual advantages, leveraging data and drafts auto-generated by intelligent algorithms that work behind the scenes.

Natural Language Generation Overview

AI tools have reached impressive levels of natural language processing and generation. After ingesting millions of samples to determine patterns, machine learning algorithms can analyze context and content needs and produce remarkably human-like drafts on a topic.

However, there are still noticeable differences from an expert writer’s output. AI delivers logically sound content with good technical writing mechanics but lacks the eloquent turns of phrase or conceptual creative leaps of an experienced wordsmith. 

Tailoring Tone and Voice  

The most advanced AI writing assistants allow users to define a desired brand voice or guideline tones around conversational, academic, formal etc. You provide initial samples of content that align well, and the algorithm will continue generating similarly styled drafts.

So, while unlikely to perfectly mimic established brand voices like MailChill’s quirky humour or Sweat’s motivational passion, AI can replicate tones decently through machine learning while saving teams tons of time.

Automating Simple Content

AI solutions can fully automate creation once properly trained on brand preferences for repetitive content needs like social media captions, localized website copy, basic descriptions, and more. Not everything demands Hemingway levels of prose. 

For instance, AI could easily handle auto-generating location-tailored FAQ pages for local branches rather than having a small business owner write the same thing 50 times. This would free up internal bandwidth to focus on more strategic projects. 

Research Assistance 

Skilled AI platforms drastically reduce research time, allowing human writers to focus their energy on expert analysis and commentary. Algorithms ingest millions more articles, studies, and data than are feasible for an individual and then summarize findings and patterns into easily consumable insights.

Subject matter experts can devote their limited bandwidth to bringing unique perspectives rather than just aggregating background info. Research that once required days now takes just minutes without sacrificing quality.  

Value Adds in Action  

Here are just a few examples of AI content assistants boosting writer productivity:

  • A freelancer uses AI topic research and outline drafting to create 2-3X more fitness articles per week. She focuses her energy on adding personal experiences rather than starting from scratch.
  • A software startup uses AI to localize website pages and blog content into Spanish and French, saving over $20k in translation fees annually. Accuracy continues improving through user feedback.
  • A manufacturing blog uses AI to transform dry industry reports into readable trend summaries that readers prefer over recycled press announcements. This frees up time for analysts to share exclusive commentary. 

All in all, do not expect AI to match your creative vision, brand voice, or industry expertise autonomously. However, it can supplement and enhance productivity around baseline content needs to empower people for higher-quality and more rewarding writing activities through intelligent collaboration.

Evaluating if AI Matches Your Needs

Assessing Volume and Deadlines

Try tallying your current content volume and cadence across channels. Compare typical writer bandwidth to demands and deadlines. If creators consistently fail to meet needs, AI could help automate lower-value work. The goal is to reach targets without overburdening staff.

Considering Output Quality 

AI enhances middle-ground content with decent mechanics but some stylistic flexibility – like localized website pages, basic user guides or support materials. For content with no room for brand voice deviations, AI likely can’t yet deliver. But for commercial posts without heavy creative demands, AI can match your bar

Identifying Repetitive Tasks

Look for repetitive bottlenecks limiting higher value work – compiling data reports, background research, draft cleanups, confirmations etc. Mundane recurring tasks are ideal fits for AI to free up teams for critical thinking vs administrative tasks.

Validating Brand Alignment 

Before widespread use, test AI drafts against brand voice standards and provide feedback to improve output. Leverage free trials from vendors to evaluate alignment to real needs – not just hypotheticals. AI should uplift production without compromising standards. 

Make use of  Free Trials.

Consider key criteria during trials:

1. How does the AI manage privacy/security? 

2. Has it been evaluated for bias? 

3. Will it improve delivery speed?

4. What implementation support is required?

5. Can it address regulatory compliance?

Implementation Considerations

Analyze Current Workflows

Before integrating any AI tools, take time to map out existing content workflows, including: 

  • All roles and responsibilities 
  • Typical process steps and hand-offs
  • Technology and applications used
  • Approval chains and publishing channels 

Understanding the full picture will help determine the most impactful areas to augment with AI. You want to uplift the ecosystem, not add complexity.

Set Expectations Around Ethics

AI is only as unbiased and truthful as the data it receives. Consider: 

  • Does the AI have transparency around training data sources?
  • What biases could have unintentionally been baked into algorithms? 
  • How will your team review output for accuracy?

Establish human oversight procedures from the start accounting for AI limitations in conveying complex emotional topics or 100% adhering to your ethical standards.

Start Small, Then Scale

Jumping right to replacing your entire copy team with AI overnight likely won’t go smoothly. Instead:

  • Test AI integration on a low-risk content area first
  • Slowly expand to more complex use cases once confidence increases 

The key is striking the right balance of reliance on AI capabilities while retaining creative control through ongoing human supervision and corrections. Don’t hand over the keys completely just yet!

Educate Your Team

Make sure writers understand AI is supporting them, not replacing them. Have your most tech-savvy users learn tool capabilities first to demo and train others. Create feedback loops for writers to refine AI models around terminology, style preferences and topic accuracy. There will likely be some initial scepticism, so over-communicate!  

Iterate Based on Insights 

Analyze metrics before and after AI augmentation across:

  • Writer productivity
  • Content quality benchmarks 
  • Issues found in the review stages

Refine how responsibilities are divided between AI and staff based on real workflow data and usage feedback. Let insights guide your integration journey instead of preconceived assumptions around the ideal balance.   


The future certainly looks bright when considering the immense potential of AI to transform content creation workflows. As technology advances rapidly, we are headed towards an emerging reality of effective human and machine collaboration.

AI-powered writing tools show incredible improvement in helping content teams supercharge productivity. Artificially intelligent capabilities also provide guardrails to maintain brand voice integrity and baseline quality bars through instant feedback opportunities. 

However, make no mistake – while AI will confidently grow into automating simpler content needs, there will always remain a need for authentic human writing skills when connecting with audiences. The unique creativity, empathy and reasoning exclusive to people continue pushing the bounds of impactful stories and insights able to change minds. A hybrid model balancing machine scalability with human genius stands to revolutionize organizations’ content capabilities.

I encourage all writers, marketing teams, agencies and enterprises to consider exploring reputable AI-enhanced content tools within their existing Standard Operating Procedures. Identify repetitive pain points to eliminate and specialized value-adds to amplify. You need not rip off the bandaid and go all in today before properly testing potential. But do strongly consider test-driving this technology to realize the immense potential benefit waiting to unlock for your content needs.

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